Gps receiver and method for producing gps signals

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GPS RECEIVER AND METHOD FOR PROCESSING GPS SIGNALS

This application is a divisional of Canadian application serial no. 2230841, which is the national phase of International application no. PCT/US96/16161 filed 8 October 1996 (08.10.96) which was published on 17 April 1997 (17.04.97) under publication no. WO 97/14049.

BACKGROUND OF THE INVENTION

A portion of the disclosure of this patent document contains material which is subject to copyright protection. The copyright owner has no objection to the facsimile reproduction by anyone of the patent document or the patent disclosure, as it appears in the Patent and Trademark Office patent file or records, but otherwise reserves all copyright rights whatsoever.

1. FIELD OF THE INVENTION

The present invention relates to receivers capable of determining position information of satellites and, in particular, relates to such receivers which find application in global positioning satellite (GPS) systems.

2. BACKGROUND ART

GPS receivers normally determine their position by computing relative times of arrival of signals transmitted simultaneously from a multiplicity of GPS (or NAVSTAR) satellites. These satellites transmit, as part of their message, both satellite positioning data as well as data on clock timing, so-called ephemeris data. The process of searching for and

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-2acquiring GPS signals, reading the ephemeris data for a multiplicity of satellites and computing the location of the receiver from this data is time consuming, often requiring several minutes. In many cases, this lengthy processing time is unacceptable and, furthermore, greatly limits battery life in micro-miniaturized portable applications.

Another limitation of current GPS receivers is that their operation is limited to situations in which multiple satellites are clearly in view, without obstructions, and where a good quality antenna is properly positioned to receive such signals. As such, they normally are unusable in portable, body mounted applications; in areas where there is significant foliage or building blockage; and in in-building applications.

There are two principal functions of GPS receiving systems: (1 ) computation of the pseudoranges to the various GPS satellites, and (2) computation of the position of the receiving platform using these pseudoranges and satellite timing and ephemeris data. The pseudoranges are simply the time delays measured between the received signal from each satellite and a local clock. The satellite ephemeris and timing data is extracted from the GPS signal once it is acquired and tracked. As stated above, collecting this information normally takes a relatively long time (30 seconds to several minutes) and must be accomplished with a good received signal level in order to achieve low error rates.

Virtually all known GPS receivers utilize correlation methods to compute pseudoranges. These correlation methods are performed in real time, often with hardware correlators. GPS signals contain high rate repetitive signals called pseudorandom (PN) sequences. The codes available for civilian applications are called C/A codes, and have a binary phasereversal rate, or chipping rate, of 1.023 MHz and a repetition period of 1023 chips for a code period of I msec. The code sequences belong to a family known as Gold codes. Each GPS satellite broadcasts a signal with a unique Gold code.

For a signal received from a given GPS satellite, following a downconversion process to baseband, a correlation receiver multiplies the received signal by a stored replica of the appropriate Gold code contained within its local memory, and then integrates, or lowpass filters, the product

4.

CA 02667775 2009-06-03 in order to obtain an indication of the presence of the signal. This process is termed a correlation” operation. By sequentially adjusting the relative timing of this stored replica relative to the received signal, and observing the correlation output, the receiver can determine the time delay between the received signal and a local clock. The initial determination of the presence of such an output is termed acquisition. Once acquisition occurs, the process enters the ’’tracking phase in which the timing of die local reference is adjusted in small amounts in order to maintain a high correlation output. The correlation output during the tracking phase may be viewed as the GPS signal with the pseudorandom code removed, or, in common terminology, despread. This signal is narrow band, with bandwidth commensurate with a 50 bit per second binary phase shift keyed data signal which is superimposed on the GPS waveform.

The correlation acquisition process is very time consuming, especially if received signals are weak. To improve acquisition time, most GPS receivers utilize a multiplicity of correlators (up to 12 typically) which allows a parallel search for correlation peaks.

Some prior GPS receivers have used FFT techniques to determine the Doppler frequency of the received GPS signal. These receivers utilize conventional correlation operations to dcspread the GPS signal and provide a narrow band signal with bandwidth typically in the range of 10 kHz to 30 kHz. The resulting narrow band signal is then Fourier analyzed using FFT algorithms to determine the carrier frequency. The determination of such a carrier simultaneously provides an indication that the local PN reference is adjusted to the correct phase of the received signal and provides an accurate measurement of carrier frequency. This frequency may then be utilized in the tracking operation of the receivers.

U.S. Patent No. 5,420.592 to Johnson discusses the use of FFT algorithms to compute pseudoranges at a central processing location rather than at a mobile unit. According to that method, a snapshot of data is collected by a GPS receiver and then transmitted over a data link to a remote receiver where it undergoes FFf processing. However, the method disclosed therein computes only a single forward and inverse Fast Fourier

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-4Transform (corresponding to four PN periods) to perform the set of correlations.

As will be evident from the following description of the present invention, higher sensitivity and higher processing speed can be achieved by performing a large number of FFT operations together with special preprocessing and postprocessing operations.

In this patent the terms correlation, convolution and matched filtering arc often utilized. The term correlation when applied to two series of numbers means the term by term multiplication of corresponding members of the two series followed by the summation of the series. This is sometimes referred to as serial correlation** and results in an output that is a single number. In some circumstances, a succession of correlation operations arc performed on successive groups of data.

The term convolution as applied to two series of numbers is the same as that commonly used in the an and is equivalent to a filtering of the second series of length m with a filter, corresponding to the first series, having an impulse response of length n. The result is a third series of length m+n-1. The term matched filtering refers to a convolution, or filtering, operation in which the aforementioned filter has an impulse response which is the time-reversed complex conjugate of the first series. The term fast convolution is utilized to indicate a series of algorithms that computes the convolution operation in an efficient manner.

Some authors utilize the terms correlation and convolution interchangeably; for clarity, however, in this patent, the term correlation always refers to the serial correlation operation described above.

SUMMARY

One embodiment of the present invention provides a method for determining the position of a remote GPS receiver by transmitting GPS satellite information, including Doppler, to the remote unit or mobile GPS unit from a basestation via a data communication link. The remote unit uses this information and received GPS signals from in view satellites to subsequently compute pseudoranges to the satellites. The computed pscudoranges are then transmitted to

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-5the basestation where the position of the remote unit is calculated. Various embodiments of apparatuses which can perform this method are also described.

Another embodiment of the present invention provides a GPS receiver having an antenna for receiving GPS signals from in view satellites; and a downconverter for reducing the RF frequency of the received GPS signals to an intermediate frequency (IF). The IF signals are digitized and stored in memory for later processing in the receiver. This processing typically is accomplished, in one embodiment of the invention, using a programmable digital signal processor which executes the instructions necessary to perform fast convolution (e.g. FFT) operations on the sampled IF GPS signals to provide pseudorange information. These operations also typically include preprocessing (prior to fast convolution) and post processing (after fast convolution) of stored versions of the GPS signals or processed and stored versions of the GPS signals.

Yet another embodiment of the present invention provides a method of power management for a GPS receiver and also provides a GPS receiving having power management features. Power dissipation is reduced over prior systems by receiving GPS signals from in view satellites; buffering these signals; and then turning off the GPS receiver. Other power management features are described.

Accordingly, in one aspect, the present invention provides a method of calibrating a local oscillator in a mobile GPS receiver, said method comprising: receiving a precision carrier frequency signal from a source providing said precision carrier frequency signal; automatically locking to said precision carrier frequency signal and providing a reference signal; and calibrating said local oscillator with said reference signal, said local oscillator being used to acquire GPS signals.

In a further aspect, the present invention provides a mobile GPS receiver comprising: a first antenna for receiving GSP signals; a downconverter coupled to said antenna, said antenna providing said GPS signals to said downconverter; a local oscillator coupled to said downconverter, said local oscillator providing a first reference signal to said downconverter to convert said GPS signals from a first frequency to a second frequency; a second antenna for receiving a precision carrier frequency signal from a source providing said precision carrier frequency signal; and an automatic frequency control (AFC) circuit coupled to said second antenna, said AFC circuit

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-5aproviding a second reference signal to said local oscillator to calibrate said first reference signal of said local oscillator, wherein said local oscillator is used to acquire said GPS signals.

In a still further aspect, the present invention provides a method of using a basestation to calibrate a local oscillator in a mobile GPS receiver, said method comprising: producing a first reference signal having a precision frequency; modulating said first reference signal with a data signal to provide a precision carrier frequency signal; and transmitting said precision carrier frequency signal to said mobile GPS receiver, said precision carrier frequency signal being used to calibrate a local oscillator in said mobile GPS receiver, said local oscillator being used to acquire GPS signals.

In a still further aspect, the present invention provides a method for determining the position of a remote unit, comprising: transmitting GPS satellite information, including Doppler, to a remote unit from a basestation via a data link; receiving at said remote unit said satellite information and GPS signals from in view satellites; computing, in the remote unit, pseudoranges to said in view satellites; transmitting said pseudoranges to said basestation from said remote unit via said data link; and computing, at said basestation, the position of said remote unit, using said pseudoranges.

In a further aspect, the present invention provides a basestation for providing a calibration signal for use in a mobile GPS receiver to calibrate a local oscillator in said mobile GPS receiver, said basestation comprising: a first source for a first reference signal having a precision frequency; a modulator coupled to said first source and to a second source of satellite data information said modulator providing a precision carrier frequency signal; and a transmitter coupled to said modulator, said transmitter for transmitting said precision carrier frequency signal to said mobile GPS receiver, said precision frequency signal being used to calibrate said local oscillator, said local oscillator being used to acquire said GPS signals.

In a further aspect, the present invention provides a method of deriving a local oscillator signal in a mobile GPS receiver, said method comprising: receiving a precision carrier frequency signal from a source providing said precision carrier frequency signal; automatically locking to said precision carrier frequency signal and

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-5bproviding a reference signal; and using said reference signal to provide a local oscillator signal to acquire GPS signals.

In a further aspect, the present invention provides a mobile GPS receiver comprising: a first antenna for receiving GPS signals; a downconverter coupled to said first antenna, said first antenna providing said GPS signals to said downconverter, said downconverter having an input for receiving a local oscillator signal to convert said GPS signals from a first frequency to a second frequency; a second antenna for receiving a precision carrier frequency signal from a source providing said precision carrier frequency signal; and an automatic frequency control (AFC) circuit coupled to said second antenna, said AFC circuit being coupled to said downconverter to provide said local oscillator signal which is used to acquire said GPS signals.

In a still further aspect, the present invention provides a method of calibrating a local oscillator in a mobile GPS receiver, said method comprising: receiving a signal modulated onto a precision carrier frequency from a source providing said modulated signal, said source being a basestation or a satellite emulating a basestation; automatically locking to said modulated signal and providing a reference signal locked in frequency to the precision carrier frequency; computing the local oscillator drift by comparing the reference signal to a signal generated by said local oscillator and generating an error correction signal; calibrating the signal generated by said local oscillator with said error correction signal; and using said calibrated signal to acquire GPS signals.

In a further aspect, the present invention provides a mobile GPS receiver comprising: a first antenna for receiving GPS signals; a downconverter coupled to said first antenna, said first antenna providing said GPS signals to said downconverter; a local oscillator coupled to said downconverter, said local oscillator generating a first reference signal for said downconverter to convert said GPS signals from a first frequency to a second frequency; a second antenna for receiving a signal modulated onto a precision carrier frequency from a source providing said modulated signal, said source being a basestation or a satellite emulating a basestation; an automatic frequency control (AFC) circuit coupled to said second antenna, said AFC circuit providing a second reference signal which is locked in frequency to said precision carrier frequency; and a comparator for computing the drift of said local oscillator by

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-5ccomparing the first reference signal to the second reference signal and by generating an error correction signal in order to calibrate the first reference signal generated by said local oscillator.

In a further aspect, the present invention provides a method for determining a position of a mobile satellite positioning system (SPS) receiver, the method comprising: receiving at the mobile SPS receiver information representing an epoch of data in an SPS message being transmitted from an SPS satellite from a source other than the SPS satellite; and acquiring SPS signals from the SPS satellite in the mobile SPS receiver to determine a pseudorange to the SPS satellite, wherein the epoch is used to acquire the SPS signals.

In a still further aspect, the present invention provides a method for assisting in the determination of a position of a mobile satellite positioning system (SPS) receiver, the method comprising: transmitting, from a non-SPS satellite source, an epoch of data in an SPS message being transmitted from an SPS satellite, wherein the epoch is used to acquire SPS signals in a mobile SPS receiver.

In a further aspect, the present invention provides a mobile apparatus, comprising: a cellular communication system which receives information representative of an epoch of data in an SPS message being transmitted from an SPS satellite, the data representative of the epoch being transmitted from a wireless cell site; and a mobile satellite positioning system (SPS) receiver coupled to the cellular communication system, the mobile SPS receiver acquiring SPS signals from the SPS satellite to determine a pseudorange to the SPS satellite, wherein the epoch is used to acquire the SPS signals.

In a still further aspect, the present invention provides a basestation apparatus comprising: a GPS receiver for receiving satellite positioning system (SPS) signals and determining epochs of data in SPS signals being transmitted from an SPS satellite; and a transmitter, coupled to the GPS receiver, the transmitter transmitting the epochs for use by a remote mobile SPS receiver in acquiring SPS signals in the mobile SPS receiver.

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-5dBRIEF DESCRIPTION OF THE DRAWINGS

The present invention is illustrated by way of example and not limitation in the figures of the accompanying drawings in which references indicate similar elements and in which:

Figure 1A is a block diagram of the major components of a remote or mobile GPS receiving system utilizing the methods of the present invention, and shows data links that may exist between a basestation and the remote.

Figure IB is a block diagram of an alternative GPS modules unit.

Figure IC is a block diagram of another alternative BPS mobile unit.

Figures 2A and 2B provide two alternatives for the RF and IF portions of a receiver which is an embodiment of the present invention.

Figure 3 shows a flow chart of the major operations (e.g. software operations) performed by the programmable DSP processor in accordance with the methods of the present invention.

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-6Figure 4 illustrates the signal processing waveforms at various stages of processing according to the methods of the present invention.

Figure 5A illustrates a basestation system in one embodiment of the present invention.

Figure 5B illustrates a basestation system in an alternative embodiment of the present invention.

Figure 6 illustrates a GPS mobile unit having, according to one aspect of the present invention, local oscillator correction or calibration.

Figure 7 is a flow chart which shows a power management method for a mobile unit according to one embodiment of the present invention.

DETAILED DESCRIPTION OF THE INVENTION

This invention concerns apparatuses and methods for computing the position of a mobile, or remote, object in a manner that results in the remote hardware having very low power dissipation and the ability to operate with very low received signal levels. That is. power consumption is reduced while receiver sensitivity is increased. This is made possible by the implementation of the remote receiving functions, as shown in Figure 1 A, as well as the transmission of Doppler information from a separately located basestation 10 to the remote or GPS mobile unit 20.

it should be noted that pseudoranges may be used to compute the remote's geographical position in many different ways. Three examples are:

1. Method 1: By re-transmitting the satellite data messages to the remote 20 from the basestation 10, the remote 20 may combine this information with the pseudorange measurements to compute its position. See, for example, U.S. patent No. 5,365,450.

Typically, the remote unit 20 performs the computation of position in the remote 20.

2. Method 2: The remote 20 may gather the satellite ephemeris data from the reception of GPS signals in the norm.nl manner that is commonly practiced in the art. This data, which typically is valid for one to two hours, may be combined with pscudorangc

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-7measurements to complete, typically in the remote unit, the position calculation.

3. Method 3: The remote 20 may transmit over a communications link 16 the pscudoranges to the basestation 10 which can combine this information with the satellite ephemeris data to complete the position calculation. See, for example, U.S. Patent No.

5,225,842.

In approaches (or Methods) 1 and 3, it is assumed that the basestation 10 and remote 20 have a common view of all satellites of interest and are positioned close enough to one another to resolve a time ambiguity associated with the repetition rate of the GPS pseudorandom codes. This will be met for a range between basestation 10 and remote 20 of 1/2 times the speed of light times the PN repetition period (I millisecond), or about 150 km.

In order to explain the current invention, it is assumed that method 3 is utilized to complete the position calculation. However, upon review of this Specification, it will be appreciated by those skilled in the an that the various aspects and embodiments of the present invention could be used with any of the above three Methods as well as other approaches. For example, in a variation of Method 1. satellite data information such as data representative of satellite ephemeris may be transmitted by a basestation to a remote unit, and this satellite data information may be combined with pseudo ranges, computed according to the present invention from buffered GPS signals, to provide a latitude and longitude (and in many cases also an altitude) for the remote unit. It will be appreciated that the position information received from the remote may be limited to latitude and longitude or may be extensive information which includes latitude, longitude, altitude, velocity and bearing of the remote. Moreover, the local oscillator correction and/or the power management aspects of the present invention may be utilized in this variation of Method 1. Furthermore, Doppler information may be transmitted to the remote unit 20 and utilized by the remote unit 20 in accordance with aspects of the present invention.

Under Method 3, the basestation 10 commands the remote 20 to perform a measurement via a message transmitted over a data

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-8communications link 16 as shown in Figure 1A. The bascstation 10 also sends within this message Doppler information for the satellites in view, which is a form of satellite data information. This Doppler information typically is in the format of frequency information, and the message will typically also specify an identification of the particular satellites in view or other initialization data. This message is received by a separate modem 22 that is part of the remote unit 20, and it is stored in a memory 30 coupled to a low-power microprocessor 26. The microprocessor 26 handles data information transfer between the remote unit processing elements 32-48 and the modem 22, and it controls power management functions within the remote receiver 20, as will be evident in the subsequent discussion. Normally, the microprocessor 26 sets most or all remote unit 20’s hardware to a low power, or power down, state, except when the pscudorange and/or other GPS calculations are being performed, or when an alternative source of power is available. However, the receiver portion of the modem is at least periodically turned on (to full power) to determine if the basestarion 10 has sent a command to determine the remote's position.

This above-mentioned Doppler information is very short in duration since the required accuracy of such Doppler information is not high. For example, if 10 Hz accuracy were required and the maximum Doppler is approximately ±7kHz, then an 11 bit word would suffice for each satellite in view. If 8 satellites were in view, then 88 bits would be required to specify all such Dopplers. The use of this information eliminates the requirement for the remote 20 to search for such Doppler, thereby reducing its processing time by in excess of a factor of 10. The use of the Doppler information also allows the GPS mobile unit 20 to process more quickly a sample of GPS signals and this tends to reduce rite amount of lime for which the processor 32 must receive full power in order to compute a position information. This alone reduces the power consumed by the remote unit 20 and contributes to improved sensitivity. Additional information may also be sent to the remote 20, including the epochs of the data in the GPS message.

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-9Thc received data link signal may utilize a precision carrier frequency. The remote receiver 20 may employ, as shown in Figure 6 which is described below, an automatic frequency control (AFC) loop to lock to this carrier and thereby further calibrate its own reference oscillator. A message transmission rime of 10 msec, with a received signal to noise ratio of 20 dB, will normally allow frequency measurement via an AFC to an accuracy of 10 Hz or better. This will typically be more than adequate for the requirements of the present invention. This feature will also enhance the accuracy of the position calculations which are performed, either conventionally or using the fast convolution methods of the present invention.

in one embodiment of the invention, the communication link 16 is a commercially available narrow bandwidth radio frequency communication medium, such as a two-way pager system. This system may be used in embodiments where the amount of data transmitted between the remote 20 and basestation 10 is relatively small. The amount of data required for the transmission of Doppler and other data (e.g. initialization data such as the identities of the satellites in view) is relatively small and similarly the amount of data required for the position information (e.g.. pseudoranges) is relatively small. Consequently, narrowband systems are adequate for this embodiment. This is unlike those systems which require the transmission of large amounts of data over a short period of time; these systems may require a higher bandwidth radio frequency communication medium.

Once the remote 20 receives a command (e.g., from the basestation 10) for GPS processing together with the Doppler information, the microprocessor 26 activates the RF to IF Converter 42. Analog to Digital Converter 44 and Digital Snapshot Memory 46 via a Battery and Power Regulator and Power Switches circuit 36 (and controlled power lines 21 a. 2 lb, 21c and 2Id) thereby providing full power to these components. This causes the signal from the GPS satellite which is received via antenna 40 to be downconvertcd to an IF frequency, where it subsequently undergoes digitization. A contiguous set of such data, typically corresponding to a duration of 100 milliseconds to 1 second (or even

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-10longer), is then stored in a Snapshot Memory 46. The amount of data stored may be controlled by the microprocessor 26 such that more data may be stored in the memory 46 (to obtain better sensitivity) in those situations when conserving power is not as important as obtaining better sensitivity, and less data may be stored in those situations when conservation of power is more important than sensitivity. Typically, sensitivity is more important when the GPS signals may be obstructed partially, and power conservation is less important when a copious power supply (e.g. a car battery) is available. The addressing of this memory 46 to store this data is controlled by a Field Programmable Gate Array integrated circuit 48. Downconversion of the GPS signal is accomplished using a frequency synthesizer 38 which provides local oscillator signal 39 to the converter 42 as discussed further below.

Note that all this time (while the snapshot memory 46 is being filled with the digitized GPS signals from the in view satellites) the DSP microprocessor 32 may be kept in a low power state. The RF to IF Converter 42 and Analog to Digital Converter 44 arc typically only turned on for a short period of time, sufficient to collect and store the data required for pseudorange calculation. After the data collection is complete, these converter circuits are turned off or power is otherwise reduced via controlled power lines 21b and 21c (while the memory 46 continues to receive full power), thus not contributing to additional power dissipation during the actual pseudorange calculation. The pscudorangc calculation is then performed using, in one embodiment, a general purpose, programmable digital signal processing IC 32 (DSP), as exemplified by a TMS320C30 integrated circuit from Texas Instruments. This DSP 32 is placed in an active power state by the microprocessor 26 and the circuit 36 via controlled power line 21c prior to performing such calculations.

This DSP 32 differs from others used in some remote GPS units in that it is general purpose and programmable, as compared to specialized custom digital signal processing IC's. Furthermore, the DSP 32 makes possible the use of a Fast Fourier Transform (FFT) algorithm, which permits very rapid computation of the pseudoranges by performing rapidly a large number of correlation operations between a locally generated

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-11reference and the received signals. Typically, 2046 such correlations are required to complete the search for the epochs of each received GPS signal. The Fast Fourier Transform algorithm permits a simultaneous and parallel search of all such positions, thus speeding the required computation process by a factor of 10 to 100 over conventional approaches.

Once the DSP 32 completes its computation of pseudoranges for each of the in view satellites, it transmits, in one embodiment of the invention, this information to the microprocessor 26 via interconnect bus 33. At this time the microprocessor 26 may cause the DSP 32 and memory 46 to again enter a low power state by sending an appropriate control signal to the Battery and Power Regulator circuit 36. Then, the microprocessor 26 utilizes a modem 22 to transmit the pscudorangc data over a data link 16 to the basestation 10 for final position computation. In addition to the pseudorange data, a time tag may simultaneously be transmitted to the basestation 10 that indicates the elaspsed rime from the initial data collection in the buffer 46 to the time of transmission of the data over the data link 16. This time tag improves the capability of the basestation to compute position calculation, since it allows the computation of the GPS satellite positions at the time of data collection. As an alternative, in accordance with Method 1 above, the DSP 32 may compute the position (e.g. latitude, longitude or latitude, longitude and altitude) of the remote unit and send this data to the microprocessor 26, which similarly relays this data to the basestation 10 via the modem 22. In this case the position computation is eased by the DSP maintaining the elapsed time from the reception of satellite data messages to the rime at which the buffer data collection begins. This improves the capability of the remote unit to compute position calculation, since it allows the computation of the GPS satellite positions at the time of data collection.

As shown in Figure I A, modem 22, in one embodiment, utilizes a separate antenna 24 to transmit and receive messages over data link 16. It will be appreciated that the modem 22 includes a communication receiver and a communication transmitter which arc alternatively coupled to the antenna 24. Similarly, basestation 10 may use a separate antenna 14 to

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-12transmit and receive data link messages, thus allowing continuous reception of GPS signals via GPS antenna 12 at the basestation 10.

It is expected, in a typical example, that the position calculations in the DSP 32 will require less than a few seconds of time, depending upon the amount of data stored in the digital snapshot memory 46 and the speed of the DSP or several DSPs.

It should be clear from the above discussion that the remote unit 20 need only activate its high power consumption circuits for a small fraction of time, if position calculation commands from the bascstation 10 are infrequent. It is anticipated, in at least many situations, that such commands will result in the remote equipment being activated to its high power dissipation state only about 1% of the time or less.

This then allows battery operation for 100 times the length of time that would otherwise be possible. The program commands necessary for the performance of the power management operation are stored in EEPROM 28 or other suitable storage media. This power management strategy may be adaptable to different power availability situations. For example, when prime power is available the determination of position may occur on a continuing basis.

As indicated above, the digital snapshot memory 46 capture; a record corresponding to a relatively long period of time. The efficient processing of this large block of data using fast convolution methods contributes to the ability of the present invention to process signals at low received levels (e.g., when reception is poor due to partial blockage from buildings, trees, etc.). All pseudoranges for visible GPS satellites are computed using this same buffered data. This provides improved performance relative to continuous tracking GPS receivers in situations (such as urban blockage conditions) in which the signal amplitude is rapidly changing.

A slightly different implementation exhibited in Figure 1 B dispenses with the microprocessor 26 and its peripherals (RAM 30 and EEPROM 28) and replaces its functionality with additional circuitry contained within a more complex FPGA (field programmable gate array) 49. In this case the FPGA 49, a low power device, serves to wakc-up the

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-13DSP 32a chip upon sensing activity from the modem 22 through interconnect 19. Interconnect 19 couples the modem to die DSP 32a and to the FPGA 19. The DSP chip 32a, when awake, directly transmits and receives data from the modem. The DSP 32a also performs power control operations through its interconnect 18 which is coupled to the Battery and Power Regulator and Switches 36 to provide power on/off commands to the circuit 36. The DSP 32a selectively powers on or reduces power to different components, according to a power management method such as that shown in Figure 7, through the power on/off commands provided by interconnect 18 to the circuit 36. The circuit 36 receives these commands and selectively provides power (or reduces power) to the different components. The circuit 36 wakes up the DSP 32a via interconnect 17. The circuit 36 selectively provides power to the different components by selectively switching power through selected ones of conσοlied power lines 21a, 21b, 21c, 21 d and 21 f. Thus, for example, to provide power to the convener 42 and the convener 44, power is provided through lines 21b and 21c to these converters. Similarly, power to the modem is supplied through controlled power line 2If.

A low frequency crystal oscillator 47 is coupled to the memory and power management FPGA 49. In one embodiment, the memory and power management FPGA 49 contains a low power timer which includes the low frequency oscillator 47. When the FPGA 49 timer expires, the FPGA 49 sends a wake up signal to the DSP 32a through interconnect 17, and the DSP 32a can then wake up other circuitry by providing power on/off commands to the Battery and Power Regulator and Power Switches circuit 36. The other circuitry is powered, through the controlled power lines 21a, 2 lb, 21c, 2 Id and 21f under control of the circuit 36, in order to perform a positioning operation (e.g. determine a position information such as a pseudorangc or a (latitude and longitude). Following the positioning operation, the DSP 32A resets the FPGA timer and reduces power to itself, and the circuit 36 also reduces power to the other components, in accordance with the method shown in Figure 7. It will be appreciated that a battery or a plurality of batteries will provide power for all power controlled circuits through controlled power lines which are

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-14controlled by the memory and power management FPGA 49 and the DSP 32a. It will also be appreciated that, rather than directly reducing power by controlling power lines (such as 21b) to a component, the power consumed by a component may be reduced by signaling to the component (as in the case of DSP 32a via interconnect 17 in Figure IB) to reduce power or wake up to full power; this is often possible when a component, such as an integrated circuit, has an input for controlling the power state of the component, and the component has the necessary internal logic for controlling power consumption (e.g. logic for reducing power to various logical blocks of the component). The memory and power management FPGA 49 provides memory control and management, including addressing operations when data is being stored into the memory 46 from the converters 44 or when the DSP component 32a is reading data from the memory 46. The FPGA 49 may also be controlling other memory functions such as memory refresh if necessary.

Figure 1C shows another embodiment according to the present invention of a GPS mobile unit which contains many of the same components as the GPS mobile units shown in Figures 1A and IB. In addition, the GPS mobile unit shown in Figure 1C includes power regulators 77 which are coupled to receive power from a plurality of batteries 81 as well as an optional external power source input 83 and solar cells 79. The power regulator 77 provides power for all circuits under control of the controlled power lines which are managed by the DSP chip 32a and the memory and power management FPGA 49 shown in Figure 1C. The solar cell 79 may recharge, using conventional recharging technology, those batteries. The solar cells 79 may also provide power to the GPS mobile unit in addition to recharging the batteries. In the embodiment shown in Figure 1C, the FPGA 49 provides a wakc-up signal over interconnect 75 to the DSP chip 32a; this signal causes the DSP chip to return to full power to perform the various functions described for the DSP chip 32a. The DSP chip may also be activated to full power state via an external command from the modem 22 which is coupled directly to the DSP chip via interconnect 19.

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-15Figurc 1C also shows a feature of the present invention which allows the GPS mobile unit to trade off sensitivity for power conservation. As described herein sensitivity of the GPS mobile unit may be increased by increasing the amount of buffered GPS signals which are stored in the memory 46. This is done by acquiring and digitizing more GPS signals and storing this data in the memory 46. While this increased buffering causes more power consumption, it does improve the sensitivity of the GPS mobile unit. This increased sensitivity mode may be selected by a power mode switch 85 on the GPS unit which is coupled to bus 19 to provide a command to the DPS chip 32a to enter an increased sensitivity mode. This power mode switch 85 may alternatively be caused to send a command to the DSP 32a chip to conserve more power and provide less sensitivity by acquiring a smaller snapshot of the GPS signals and thereby storing a smaller amount of GPS signals in the memory 46. It will be appreciated that this power mode selection may also occur through a signal sent from the basestation to the modem 22 which then communicates this command via interconnect 19 to the DSP chip 32a.

A representative example of an RF to IF frequency converter and digitizing system for the mobile GPS unit is shown in Figure 2A. The input signal at 1575.42 MHz is passed through a bandlimiting filter (BPF) 50 and low noise amplifier (LNA) 52 and sent to a frequency conversion stage. The local oscillator (LO) 56 used in this stage is phase locked (via PLL 58) to a 2.048 MHz (or harmonic thereof) temperature compensated crystal oscillator (TCXO) 60. In a preferred implementation, the LO frequency would be 1531.392 MHz, which is 2991 x 0.512 MHz. The resulting IF signal is then centered at 44.028 MHz. This IF is desirable due to the availability of low cost components near 44 MHz. In particular, surface acoustic wave filters (SAW), which are utilized in abundance in television applications, arc readily available. Of course, other bandlimiting devices could be used instead of SAW devices.

The received GPS signal is mixed with the LO signal in mixer 54 to produce the IF signal. This IF signal is passed through a SAW filter 64, for precision bandlimiting to 2 MHz bandwidth, and then sent to an I/Q down-converter 6S. which translates the signal to near baseband (4 kHz

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-16center frequency nominally). The local oscillator frequency for this downconvertcr 68 is derived from the 2.048 MHz TCXO 60 as the 43rd harmonic of 1.024 MHz, that is 44.032 MHz.

The I/Q downconvener 68 is generally commercially available as an RF component. It typically consists of two mixers and lowpass filters. In such instances, the input ports of one mixer are fed with the IF signal and the LO signal and the input pons to the other mixer are fed with the same IF signal and the LO signal phase shifted by 90°. The outputs of the two mixers are lowpass filtered to remove feedthrough and other distortion products.

As shown in Figure 2A, amplifiers 62 and 66 may be used before and after the bandlimiring operation as required.

The two outputs of the I/Q downconvertcr 68 are sent to two matched A/D conveners 44 which sample the signals at 2.048 MHz. An alternative implementation replaces the A/D conveners 44 with comparators (not shown), each of which outputs a two-valued (one-bit) sequence of data in accordance with the polarity of the incoming signal. It is well known that this approach results in a loss of approximately 1.96 dB in receiver sensitivity relative to a multilevel A/D convener. However, there may be substantial cost savings in use of a comparator vs. A/D converters, as well as in the reduced memory requirement in the following snapshot memory 46.

An alternative implementation of the downconvener and A/D system is shown in Figure 2B which utilizes a bandpass sampling method. The TCXO 70 employed is at frequency 4.096 MHz (or an harmonic thereof). The TCXO output may be used as the sample clock to the A/D convener 44 (or comparator); this acts to translate the signal to 1.028 MHz. This frequency is the difference between the 11th harmonic of 4.096 MHz and the input IF frequency 44.028 MHz. The resulting 1.028 MHz IF is nearly one-fourth the sample rate, which is known to be nearly ideal in minimizing sampling type distortions. As compared to the I/Q sampling of Figure 2A, this single sampler provides one channel of data rather than two, but at twice the rate. In addition, the data is effectively at an IF of 1.028 MHz. I/Q frequency conversion to near 0 MHz would then be implemented by digital means in the following processing to be described. The apparatus of

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-17Figure 2A and 2B are competitive in cost and complexity; often component availability dictates the preferred approach. It will be apparent to those skilled in the an, however, that other receiver configurations could be used to achieve similar results.

In order to simplify the following discussion, the following assumes that the I/Q sampling of Figure 2A is employed and that the snapshot memory 46 contains two channels of digitized data at 2.048 MHz.

Details of the signal processing performed in the DSP 32 may be understood with the aid of the flow chan of Figure 3 and the pictorial of Figures 4A. 4B, 4C, 4D and 4E. It will be apparent to those skilled in the an that the machine code, or other suitable code, for performing the signal processing to be described is stored in EPROM 34. Other non-volatile storage devices could also be used. The objective of the processing is to determine the timing of the received waveform with respect to a locally generated waveform. Furthermore, in order to achieve high sensitivity, a very long portion of such a waveform, typically 100 milliseconds to 1 second, is processed.

In order to understand the processing, one first notes that each received GPS signal (C/A mode) is constructed from a high rate (1 MHz) repetitive pseudorandom (PN) pattern of 1023 symbols, commonly called “chips.” These chips resemble the waveform shown in Figure 4A. Further imposed on this pattern is low rate data, transmitted from the satellite at 50 baud. All of this data is received at a very low signal-to-noise ratio as measured in a 2 MHz bandwidth. If the carrier frequency and all data rates were known to great precision, and no data were present, then the signal-to-noise ratio could be greatly improved, and the data greatly reduced, by adding to one another successive frames. For example, there are 1000 PN frames over a period of I second. The first such frame could be coherently added to the next frame, the result added to the third frame, etc. The result would be a signal having a duration of 1023 chips. The phasing of this sequence could then be compared to a local reference sequence to determine the relative timing between the two, thus establishing the so-called pseudorangc.

The above process must be carried out separately for each satellite in view from the same set of stored received data in the snapshot memory 46, since, in general, the GPS signals from different satellites have different Doppler frequencies and the PN patterns differ from one another.

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-18The above process is made difficult by the fact that the carrier frequency may be unknown by in excess of 5 kHz due to signal Doppler uncertainty and by an additional amount due to receiver local oscillator uncertainty. These Doppler uncertainties are removed in one embodiment of the present invention by transmission of such information from a basestation 10 which simultaneously monitors all GPS signals from in view satellites. Thus. Doppler search is avoided at the remote 20. The local oscillator uncertainty is also greatly reduced (to perhaps 50 Hz) by the AFC operation performed using the base to remote communication signal, as illustrated in Figure 6.

The presence of 50 baud data superimposed on the GPS signal still limits the coherent summation of PN frames beyond a period of 20 msec. That is. at most 20 frames may be coherently added before data sign inversions prevent further processing gain. Additional processing gain may be achieved through matched filtering and summation of the magnitudes (or squares of magnitudes) of the frames, as detailed in the following paragraphs.

The flow chart of Figure 3 begins at step 100 with a command from the basestation 10 to initialize a GPS processing operation (termed a “Fix Command in Fig. 3). This command includes sending, over a communication link 16, the Doppler shifts for each satellite in view and an identification of those satellites. At step 102, the remote unit 20 computes its local oscillator drift by frequency locking to the signal transmitted from the basestation 10. An alternative would be to utilize a very good quality temperature compensated crystal oscillator in the remote unit. For example, digitally controlled TCXOs, so-called DCXOs, currently can achieve accuracy of about 0.1 parts per million, or an error of about 150 Hz for the LI GPS signal.

At step 104 the remote unit’s microprocessor 26 turns on power to (he receiver front end 42, Analog to Digital Converters 44 and digital snapshot memory 46, and collects a snapshot of data of duration K PN frames of the C/A code, where K is typically 100 to 1000 (corresponding to 100 msec to 1 second time duration). When a sufficient amount of data has been collected, microprocessor 26 turns off the RF to IF converter 42 and the A/D converters 44.

The pseudorange of each satellite is computed in turn as follows. First, at step 106 for the given GPS satellite signal to be processed, the corresponding pseudorandom code (PN) is retrieved from EPROM 34. As discussed shortly, the

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-19preferred PN storage format is actually the Fourier transform of this PN code, sampled at a rate of 2048 samples per the 1023 PN bits.

The data in snapshot memory 46 is processed in blocks of N consecutive PN frames, that is blocks of 2048N complex samples (N is an integer typically in the range 5 to 10). Similar operations are performed on each block as shown in the bottom loop (steps 108-124) of Figure 3. That is, this loop is performed a total of K/N times for each GPS signal to be processed.

At step 108 the 2048N data words of the block are multiplied by a complex exponential that removes die effects of Doppler on the signal carrier, as well as the effects of drifting of the receiver local oscillator. To illustrate, suppose the Doppler frequency transmitted from the basestation 10 plus local oscillator offsets corresponded to f_e Hz. Then the premultiplication of the data would take the form of the function e*j^2ltf_c^nT, ^π= ίθ. i. 2.....2048N -1J + (B-l) x 2048N, where

T=l/2.048 MHz is the sampling period, and the block number B ranges from 1 to K/N.

Next, at step 110, the adjacent groups of N (typically 10) frames of data within the block are coherently added to one another. That is. samples 0, 2048,

4096,... 2048(N-l) -1 arc added together, then 1, 2049, 4097,... 2048(N-l) are added together, etc. At this point the block contains only 2048 complex samples. An example of the waveform produced by such a summing operation is illustrated in Figure 4B for the case of 4 PN frames. This summing operation may be considered a preprocessing operation which precedes the fast convolution operations.

Next, at steps 112-118, each of the averaged frames undergoes a matched filtering operation, whose purpose is to determine the relative timing between the received PN code contained within the block of data and a locally generated PN reference signal. Simultaneously, the effects of Doppler on the sampling limes is also compensated for. These operations are greatly speeded, in one embodiment, by the use of fast convolution operations such as Fast Fourier Transform algorithms used in a manner to perform circular convolution, as presently described.

In order to simplify discussion, the above mentioned Doppler compensation is initially neglected.

.4.«·

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-20The basic operation co be performed is a comparison of the data in the block being processed (2048 complex samples) to a similar reference PN block stored locally. The comparison is actually done by (complex) multiplying each element of the data block by the corresponding element of the reference and summing the results. This comparison is termed a correlation. However, an individual correlation is only done for one particular starting time of the data block, whereas there are 2048 possible positions that might provide a better match. The set of all correlation operations for all possible starting positions is termed a matched filtering operation. The full matched filtering operation is required in a preferred embodiment.

The other times of the PN block can be tested by circularly shifting the PN reference and reperforming the same operation. That is, if the PN code is denoted p(0) p(l)... p(2047), then a circular shift by one sample is p(l) p(2).... p(2047) p(0). This modified sequence tests to determine if the data block contains a PN signal beginning with sample p(l). Similarly the data block may begin with samples p(2), p(3), etc., and each may be tested by circularly shifting the reference PN and reperforming the tests. It should be apparent that a complete set of tests would require 2048 x 2048 = 4,194,304 operations, each requiring a complex multiplication and addition.

A more efficient, mathematically equivalent method may be employed, utilizing the Fast Fourier Trans form (FFT), which only requires approximately 12 x 2048 complex multiplications and twice the number of additions. In this method, the FFT is taken for the data block, at step 112, and for the PN block. The FFT of the data block is multiplied by the complex conjugate of the FFT of the reference, at step 114, and the results are inverse Fourier transformed at step 118. The resulting data so gotten is of length 2048 and contains the set of correlations of the data block and the PN block for all possible positions. Each forward or inverse FFT operation requires P/2 Iog2 P operations, where P is the size of the data being transformed (assuming a radix-2 FFT algorithm is employed). For the case of interest, B=2048, so that each F Fl' requires 11 x 1024 complex multiplications. However, if the FFT of the PN sequence is prestored in EPROM 34, as in a preferred embodiment, then its FFT need not be computed during the filtering process. The total number of complex multiplies for the forward FFT, inverse FFT and the product of the FFTs is thus (2 x 1 I ? 2) x 1024 = 24576,

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-21which is a savings of a factor of 171 over direct correlation. Figure 4C illustrates the waveform produced by this matched filtering operation.

The preferred method of the current invention utilizes a sample rate such that 2048 samples of data were taken over the PN period of 1023 chips. This allows the use of FFi algorithms of length 2048. It is known that FFf algorithms that are a power of 2, or 4, arc normally much more efficient than those of other sizes (and 2048 = 211). Hence the sampling rate so chosen significantly improves the processing speed. It is preferable that the number of samples of the FFT equal the number of samples for one PN frame so that proper circular convolution may be achieved. That is, this condition allows the test of the data block against all circularly shifted versions of the PN code, as discussed above. A set of alternative methods, known in the an as overlap save or overlap add convolution may be utilized if the FFT size is chosen to span a number of samples different from that of one PN frame length. These approaches require approximately twice the number of computations as described above for the preferred implementation.

It should be apparent to one skilled in the an how the above process may be modified by utilizing a variety of FM algorithms of varying sizes together with a variety of sample rates to provide fast convolution operations. In addition, a set of fast convolution algorithms exist which also have the property that the number of computations required arc proponional to B log2B rather than B² as is required in straightforward correlation. Many of these algorithms are enumerated in standard references, for example, H.J. Nussbaumer, Fast Fourier Transform and Convolution Algorithms, New York, Springer-Verlag, Cl982. Important examples of such algorithms are the Agarwal-Cooley Algorithm, the split nesting algorithm, recursive polynomial nesting algorithm, and the Winograd-Fouricr algorithm, the first three of which arc used to perform convolution and the latter used to perform a Fourier transform. These algorithms may be employed in substitution of the preferred method presented above.

The method of time Doppler compensation employed at step 116 is now explained. In the preferred implementation, the sample rate utilized may not correspond exactly to 204S samples per PN frame due to Doppler effects on the received GPS signal as well as local oscillator instabilities. For example, it is known that the Doppler shift can contribute a delay error of ±2700 nscc/scc. In order to compensate for this effect, the blocks of data processed in the above

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-22description need to be time shifted to compensate for this error. As an example, if the block size processed corresponds to 5 PN frames (5 msec), then the time shift from one block to another could be as much as ±13.5 nsec. Smaller time shifts result from local oscillator instability. These shifts may be compensated for by time shifting the successive blocks of data by multiples of the time shift required by a single block. That is, if the Doppler time shift per block is d, then the blocks are time shifted by nd, n=0, 1, 2.....

In general these time shifts arc fractions of a sample. Performing these operations directly using digital signal processing methods involves the use of nonintegral signal interpolation methods and results in a high computation burden. An alternative approach, that is a preferred method of the present invention, is to incorporate the processing within the fast Fourier transform functions. It is wellknown that a time shift of d seconds is equivalent to multiplying the Fourier Transform of a function by c'j2nfd_t where f is the frequency variable. Thus, the time shift may be accomplished by multiplying the FFT of the data block by _c-j2nnd/Tf _{for n=0}, ₂.....1023 and by _c-j2n(n-2048)d/T_{f for n}=1024. 1025.

..., 2047, where Tf is the PN frame duration (I millisecond). This compensation adds only about 8% to the processing time associated with the FFT processing. The compensation is broken into two halves in order to guarantee continuity of phase compensation across 0 Hz.

After the matched filtering operation is complete, the magnitudes, or magnitudes-squared, of the complex numbers of the block are computed at step 120. Either choice will work nearly as well. This operation removes effects of 50 Hz data phase reversals (as shown in Figure 4D) and low frequency carrier errors that remain. The block of 2048 samples is then added to the sum of the previous blocks processed at step 122. Step 122 may be considered a post processing operation which follows the fast convolution operation provided by steps 112118. This continues until all K/N blocks arc processed, as shown by the decision block at step 124, at which time there remains one block of 2048 samples, from which a pseudorangc is calculated. Figure 4E illustrates the resulting waveform after the summing operation.

Pseudorange determination occurs at step 126. A peak is searched for above a locally computed noise level. If such a peak is found, its time of

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-23occurrcnce relative to the beginning of the block represents the pseudorange associated with the particular PN code and the associated GPS satellite.

An interpolation routine is utilized at step 126 to find the location of the peak to an accuracy much greater than that associated with the sample rate (2.048 MHz). The interpolation routine depends upon the prior bandpass filtering used in the RJF/IF portion of the remote receiver 20. A good quality filter will result in a peak having a nearly triangular shape with the width of the base equal to 4 samples. Under this condition, following subtraction of an average amplitude (to remove a DC baseline), the largest two amplitudes may be used to determine the peak position more precisely. Suppose these amplitudes arc denoted Ap and Ap+|, where Ap>Ap+i, without loss of generality, and p is the index of the peak amplitude. Then the position of the peak relative to that coraesponding to Ap may be provided by the formula: peak location = p+Ap/(Ap+Ap+i). Forexampleif Ap = Ap+i, then the peak location is found to be p+ 0.5, that is, halfway between the indices of the two samples. In some situations the bandpass filtering may round the peak and a three point polynomial interpolation may be more suitable.

In the preceding processing, a local noise reference used in thresholding, may be computed by averaging all the data in the final averaged block, after removing the several largest such peaks.

Once the pseudorangc is found, the processing continues at step 128 in a similar manner for the next satellite in view, unless all such satellites have been processed. Upon completion of the processing for all such satellites, the process continues at step 130 where the pseudorange data is transmitted to the basestation 10 over a communication link 16, where the final position calculation of the remote is performed (assuming Method 3 is utilized). Finally, at step 132, the majority of the circuitry of the remote 20 is placed in a low power state, awaiting a new command to perform another positioning operation .

A summary of the signal processing described above and shown in Figure 3 will now be provided. The GPS signals from one or more in view GPS satellites are received at the remote GPS unit using an antenna on the remote GPS unit. These signals are digitized and stored in a buffer in the remote GPS unit. After storing these signals, a processor performs preprocessing, fast convolution processing, and post processing operations. These processing operations involve:

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a) breaking the stored data into a series of contiguous blocks whose durations are equal to a multiple of the frame period of the pseudorandom (PN) codes contained within the GPS signals.

b) for each block performing a preprocessing step which creates a compressed block of data with length equal to the duration of a pseudorandom code period by coherently adding together successive subblocks of data, the subbiocks having a duration equal to one PN frame; this addition step will mean that the corresponding sample numbers of each of the subblocks are added to one another.

c) for each compressed block, performing a matched filtering operation, which utilizes fast convolution techniques, to determine the relative timing between the received PN code contained within the block of data and a locally generated PN reference signal (e.g. the pseudorandom sequence of the GPS satellite being processed).

d) determining a pseudorange by performing a magnitude-squared operation on the products created from said matched filtering operation and post processing this by combining the magnitude-squared data for all blocks into a single block of data by adding together the blocks of magnitude-squared data to produce a peak.

and e) finding the location of the peak of said single block of data to high precision using digital interpolation methods, where the location is the distance from the beginning of the data block to the said peak, and the location represents a pseudorange to a GPS satellite corresponding to the pseudorandom sequence being processed.

Typically, the fast convolution technique used in processing the buffered GPS signals is a Fast Fourier Transform (f-H ) and the result of the convolution is produced by computing the product of the forward transform of the compressed block and a prestored representation of the forward transform of the pseudorandom sequence to produce a first result and then performing an inverse transformation of the first result to recover the result. Also, the effects the Doppler induced rime delays and local oscillator induced time errors are compensated for on each compressed block of data by inserting between the forward and inverse Fast Fourier Transform operations, the multiplication of the forward FFTof the

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-25compressed blocks by a complex exponential whose phase versus sample number is adjusted to correspond to the delay compensation required for the block.

In the foregoing embodiment the processing of GPS signals from each satellite occurs sequentially over time, rather than in parallel. In an alternative embodiment, the GPS signals from ail in view satellites may be processed together in a parallel fashion in time.

It is assumed here that the basestation 10 has a common view of all satellites of interest and that it is sufficiently close in range to remote unit 20 in order to avoid ambiguities associated with the repetition period of the C/A PN code. A range of 90 miles will satisfy this criteria. The basestation 10 is also assumed to have a GPS receiver and a good geographical location such that all satellites in view are continuously tracked to high precision.

. While several described embodiments of the basestation 10 show the use of a data processing component, such as a computer at the basestation in order to compute position information such as a latitude and a longitude for the mobile GPS unit, it will be appreciated that each basestation 10 may merely relay the information received, such as pseudoranges from a mobile GPS unit, to a central location or several central locations which actually perform the computation of latitude and longitude: In this manner the cost and complexity of these relaying base stat ions may be reduced by eliminating a data processing unit and its associated components from each relaying basestation. A central location, would include receivers (e.g. telecommunication receivers) and a data processing unit and associated components. Moreover, in certain embodiments, the basestation may be virtual in that it may be a satellite which transmits Doppler information to remote units, thereby emulating a basestation in a transmission cell.

Figures 5A and 5B show two embodiments of a basestarion according to the present invention. In the basestation shown in Figure 5A, a GPS receiver 501 receives GPS signals through a GPS antenna 501a. The GPS receiver 501, which may be a conventional GPS receiver, provides a timed reference signal which typically is timed relative to GPS signals and also provides Doppler information relative to the satellites in view. This GPS receiver 501 is coupled to a disciplined local oscillator 505 which receives the time reference signal 510 and phase locks itself to this reference. This disciplined local oscillator 505 has an output which is provided to a modulator 506. The modulator 506 also receives Doppler data

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-26information signals for each satellite in view of the GPS mobile unit and/or other satellite data information signals 511. The modulator 506 modulates the Doppler and/or other satellite data information onto the local oscillator signal received from the discipline local oscillator 505 in order to provide a modulated signal 513 to the transmitter 503. The transmitter 503 is coupled to the data processing unit 502 via interconnect 514 such that the data processing unit may control the operation of the transmitter 503 in order to cause the transmission of satellite data information, such as the Doppler information to a GPS mobile unit via the transmitter's antenna 503a. In this manner, a GPS mobile unit may receive the Doppler information, the source of which is the GPS receiver 501 and may also receive a high precision local oscillator carrier signal which may be used to calibrate the local oscillator in the GPS mobile unit as shown in Figure 6.

The basestation as shown in Figure 5A also includes a receiver 504 which is coupled to receive communication signals from the remote or GPS mobile unit via a communication antenna 504a. It will be appreciated that the antenna 504a may be the same antenna as the transmitter's antenna 503a such that a single antenna serves both the transmitter and the receiver in the conventional fashion. The receiver 504 is coupled to the data processing unit 502 which may be a conventional computer system. The processing unit 502 may also include an interconnect 512 to receive the Doppler and/or other satellite data information from the GPS receiver 511. This information may be utilized in processing the pseudorange information or other information received from the mobile unit via the receiver 504. This data processing unit 502 is coupled to a display device 50S, which may be a conventional CRT. The data processing unit 502 is also coupled to a mass storage device 507 which includes GIS (Geographical Information System) software (e.g. Atlas GIS from Strategic Mapping, Inc. of Santa Clara, California) which is used to display maps on the display 508. Using the display maps, the position of the mobile GPS unit may be indicated on the display relative to a displayed map.

An alternative basestation shown in Figure 5B includes many of the same components shown in Figure 5A. However, rather than obtaining Doppler and/or other satellite data information from a GPS receiver, the basestation of Figure 5B includes a source of Doppler and/or other satellite data information 552 which is obtained from a telecommunication link ora radio link in a conventional matter.

-t

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-27This Doppler and/or satellite information is conveyed over an interconnect 553 to the modulator 506. The other input the modulator 506 shown in Figure 5B is the oscillator output signal from a reference quality local oscillator such as a cesium standard local oscillator. This reference local oscillator 551 provides a precision carrier frequency onto which is modulated the Doppler and/or other satellite data information which is then transmitted via transmitter 503 to the mobile GPS unit.

Figure 6 shows an embodiment of a GPS mobile unit of the present invention which utilizes the precision carrier frequency signal received through the communication channel antenna 601 which is similar to the antenna 24 shown in Figure I A. The antenna 601 is coupled to the modem 602. which is similar to the modem 22 in Figure 1 A, and this modem 602 is coupled to an automatic frequency control circuit 603 which locks co the precision carrier frequency signal sent by the basestation described herein according to one embodiment of the present invention. The automatic frequency control circuit 603 provides an output 604, which is typically locked in frequency to the precision carrier frequency. This signal 604 is compared by the comparator 605 to the output of the GPS local oscillator 606, via interconnect 608. The result of the comparison performed by the comparator 605 is an error correction signal 610 which is provided to the frequency synthesizer 609. In this manner, the frequency synthesizer 609 provides a higher quality, calibrated local oscillation signa! over interconnect 612 to the GPS down convener 614. (t will be appreciated that the signal provided over interconnect 612 is similar to the local oscillator signal provided by interconnect 39 on Figure IA to the convener 42; also, the convener 42 is similar to the GPS down convener 614 which is coupled to the GPS antenna 613 to receive GPS signals. In an alternative embodiment, the result of the comparison performed by comparator 605 may be output via interconnect 610a as an error correction to the DSP component 620 which is similar to the DSP chip 32 shown in Figure 1A. In this instance, no error correction signal 610 will be provided to the frequency synthesizer 609. The automatic frequency control circuit may be implemented using a number of conventional techniques including a phase lock loop ora frequency lock loop or a block phase estimator.

Figure 7 illustrates a particular sequence of power management according to one embodiment of the invention, it will be appreciated that there are numerous ways which are known in the arc in order to reduce power. These include slowing

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-28down the clock provided to a synchronous, clocked component as well as completely shutting down power to a particular component or turning off certain circuits of a component but not others. It will be appreciated, for example, that phase lock loops and oscillator circuits require start up and stabilization times and thus a designer may decide not to power down completely (or at all) these components. The example shown in Figure 7 begins in step 701 in which the various components of the system are initialized and placed in a reduced power state. Either periodically or after a predetermined period of time, the communication receiver in the modem 22 is returned to full power to determine whether commands are being sent from the basestation 10. This occurs in step 703. If a request is received in step 705 for location information from a base unit, the modem 22 alerts the power management circuit in step 707. At this point in time, the communication receiver in the modem 22 may be turned off for either a predetermined period of time or turned off to be turned on periodically again at a later time; this is shown as step 709. It will be appreciated that the communication receiver may maintained at a full power state rather than turning it off at this point in time. Then in step 711, the power management circuit returns the GPS receiver portion of the mobile unit to full power by powering up the converter 42 and the analog to digital conveners 44; if the frequency oscillator 38 was also powered down, this component is powered up at this time and returned to full power and allowed some time to stabilize. Then in step 713, the GPS receiver, including components 38,42 and 44 receive the GPS signal. This GPS signal is buffered in the memory 46 which has also been returned to full power when the GPS receiver was returned to full power in step 711. After collection of the snapshot information is completed, then the GPS receiver is returned to a reduced power State in step 717; this typically comprises reducing power for the converter 42 and 44 while keeping the memory 46 at full power. Then in step 719, the processing system is returned to full power, in one embodiment, this involves providing full power to the DSP chip 32; it will be appreciated however that if the DSP chip 32 is also providing power management functions as in the case of the embodiment shown in Figure IC, then the DSP chip 32a is typically returned to full power in step 707. In the embodiment shown in Figure 1A where the microprocessor 26 performs power management function, the processing system, such as DSP chip 32 may be returned to full power at step 719. In step 721, the GPS signal is

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-29proccssed according to the method of the present invention, such as that shown in Figure 3. Then, after completing the processing of the GPS signal, the processing system is placed in a reduced power state as shown in step 23 (unless the processing system is also controlling power management as noted above). Then, in step 725 the communication transmitter in the modem 22 is returned to full power in order to transmit in step 727 the processed GPS signal back to the bascstation 10. After completing transmission of the processed GPS signal, such as pseudorange information or latitude and longitude information, the communication transmitter is returned to reduced power state in 729 and the power management system waits for a delay of a period of time such as predetermined period of time in step 731. Following this delay the communication receiver in the modem 22 is returned to full power in order to determine whether a request is being sent from a bascstation.

Although the methods and apparatus of the present invention have been described with reference to GPS satellites, it will be appreciated that the teachings are equally applicable to positioning systems which utilize pseudolites or a combination of satellites and pseudolites. Pseudolites are ground based transmitters which broadcast a PN code (similar to a GPS signal) modulated on an L-band carrier signal, generally synchronized with GPS time. Each transmitter may be assigned a unique PN code so as to permit identification by a remote receiver. Pseudolites are useful in situations where GPS signals from an orbiting satellite might be unavailable, such as tunnels, mines, buildings or other enclosed areas. The term satellite, as used herein, is intended to include pscudolite or equivalents of pseudolites, and the term GPS signals, as used herein, is intended to include GPS-like signals from pseudolites or equivalents of pseudolites.

In the preceding discussion the invention has been described with reference to application upon the United States Global Positioning Satellite (GPS) system. It should evident, however, that these methods are equally applicable to similar satellite positioning systems, and in, particular, the Russian Glonass system. The Glonass system primarily differs from GPS system in that the emissions from different satellites arc differentiated from one another by utilizing slightly different carrier frequencies, rather than utilizing different pseudorandom codes. In this situation substantially all the circuitry and algorithms described previously are applicable with the exception that when processing a new satellite's emission a

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-30different exponential multiplier is used to preprocess the data. This operation may be combined with the Doppler correction operation of box 108 Figure 3, without requiring any additional processing operations. Only one PN code is required in this situation, thus eliminating block 106. The term GPS used herein includes such alternative satellite positioning systems, including the Russian Glonass system.

Although Figures 1Λ, IB and IC illustrate a multiplicity of logic blocks that process digital signals (e.g. 46, 32, 34, 26, 30, 28 in Figure 1A), it should be appreciated that several or all of the these blocks may be integrated together onto a single integrated circuit, while still maintaining the programmable nature of the DSP portion of such a circuit. Such an implementation may be important for very low power and cost sensitive applications.

It should also be appreciated that one or several of the operations of Figure 3 may be performed by hardwired logic in order to increase the overall processing speed, while retaining the programmable nature of the DSP processor. For example, the Doppler correction capability of block 108 may be performed by dedicated hardware that may be placed between the digital snapshot memory 46 and the DSP IC 32. All other software functions of Figure 3 may in such cases be performed by the DSP processor. Also, several DSPs may be used together in one remote unit to provide greater processing power. It will also be appreciated that it is possible to collect (sample) multiple sets of frames of GPS data signals and process each set as shown in Figure 3 while accounting for the time between the collection of each set of frames.

A demonstration system, which is an example of an embodiment of the present invention, has been constructed that has verified the operation of the methods and algorithms described herein as well as showing the improved sensitivity possible by using these methods and algorithms. The demonstration system consisted of a GPS antenna and RF downconvener from GEC Plcssey Semiconductors followed by a digitizer buffer board from Gage Applied Sciences. Inc. The antenna and downconvener perform the functions of 38. 40, 42, and 44 of Figure 1A and the digitizer buffer performs the functions 44, 46 and 48 of Figure 1 A. The signal processing was performed on an IBM PC compatible computer using a Pentium microprocessor, ninning under Windows 95 operating system. This emulated the functions of the DSP chip 32 and the memory •j.·:

CA 02667775 2009-06-03

-31p- peripherals 34. Doppler information for satellites in view were provided to the signal processing software as inputs to the signal processing routines to emulate the functions of the modem and microprocessor 22. 24, 25, 26.

The algorithms for this demonstration system were developed using the MATLAB programming language. A large number of tests were performed on live GPS signals obtained in various situations of blockage. These tests have verified that the sensitivity performance of the demonsœation system was substantially superior to that of several commercial GPS receivers, that were tested at the same time. Appendix Λ provides a detailed listing of the MATLAB machine code that was used in these tests and is an example of the fast convolution operations of the present invention (e.g. Figure 3).

In the foregoing specification, the invention has been described with reference to specific exemplary embodiments thereof. It will, however, be evident that various modifications and changes may be made thereto without departing from the broader spirit and scope of the invention as set forth in the appended claims. The specification and drawings are, accordingly, to be regarded in an illustrative rather than a restrictive sense.

CA 02667775 2009-06-03

-32APPENDIZ A function (sv,prange, surin,surout,svdoppler,outdata] = gps(filcnaac,srate , codes , doppler, no_pred,saaDlerange ) υ

% function * ( sv, prange, snrin, snrout, svdoppler, outdata ]®gps( filename, srate, codes, doppler, (no__pred. sampler ange ) %

( N. Krasner Feb. 20, 1996.

( ©Precision Tracking, Inc., San Jose, CA. 95117 %

(This function processes digitized data and provides pseudoranges as outputs (together with other statistical quanitites, as described below.

( (Data to be processed is stored in a file named ‘filename*.

( (This function works on data from Gage digitizer at either sample rate (3X2.048 MB2 (if srate®®0) or at sample rate 6X2.048 K92 (if erate-®l). (where it is assumed that IF ie 35.42 -(1400/45)«4.308889 HBz.

(The following are definitions of inputs and outputs of the routine:

( (Codes are the SV numbers; if codes«0, then all codes will be used;

( (Doppler *> (dopper(l) doppler(2) . . . doppler(n) span], specifies the mean (doppler of each of the n satellite plus a span to be searched over; if span (is missing or^a0), then search is only done at the specified dopplers.

(An algorithm is used to select the quantization size of doppler steps.

(In some cases ever, if span is nonzero, only one doppler frequency per satellite (will be used. The search range ie sspan relative to each doppler. ( (no_pred is number of predetection frames (

(All data in the file is processed if somplerange is deleted. Eowever, if (it is present it is two value and has the notation:

( samplerange®( lower_index, upper_index) ;

(If these indices are not within range of that provided in the gage file, (then an error message is provided.

( (Defaults are: if doppler has only one value, then doppler^span will be zero ( if no_po6td is not specified, then all data will be used ( if no_pred is not specified, then pred will be set to 9 ( if no__pred is specified, then no_postd must be specified ( ~ (Outputs are codenumbers, pseudranges, snrs and best doppler (with the pseudoranges expressed in nsec and snrs in dB.

(A signal peak must exceed 15 dB threshold for detection. An (interpolation algorithm is used to determine signal peak location. (If no codes are found, the the returned function will be all zeros.

( (Outdata is a vector of size 2040 that represents the output signal plus (noise after postdetection integration for each detected aatcllite vehicle, (for the best doppler. Thia data was used to find pseudoranges ((%(( ------------------------------------------------------------((%( (first open the file and find the buffersize and indices to

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-33• iprocess, which may be all data if net specified in input arguments ( f ilevals, rate ]®gageoper.( filename) ;

buffsize=filevals( 3) ; %total number of 6amples in file if nargin«»6,

1ower_index®samp1erange (1)upper_index®samplerange(2) ; if upper_index>buffsize-1, error(’Samplerange is out of bounds');

end else, lower_index«0;upper_index«buffsize-1;

end nu----------------------------------------------------------------iNow find number of doppler bins; the center of these bins are tcalled dopps and they are referenced to the center of the input dopplers if lengthfdoppler )««length( codes ), span««0; eiseif length(doppler)««length(codes) + 1, span«doppler( length(codes) + 1) ;

elee, error(’Length of doppler vector must equal length of codes, cr 1 more'); end if epan<0, error('Span must be greater than zero'|;end if srate«*0, s_per_f rame «6 ; else, s_oer_frome=12; end if nargin«®3, no_jpred«min( 9, fix ( buffsize/( 1024’ e_per_frame ) ) ) ; end no__postd«fix(buf f size/ ( no_pred· 1024 *a_per_frame ) ) ;

if no_pred<l, error('Number of predetection frames muot be at least l');end if ao_poatd<l, error('Number of postdetection frames must be at least l');end deltaf®(1/3)’1000/no_pred; tyields about 1.5 d3 loss which ia made up Iworst case by two independent detections for (when true freq is midway between bins if spen<deltaf, dopps®0; tno need to quantize doppler else, dopps«(0 :-delta*:-span ) ; dopps=sort((dopps deltaf:deltaf:span]) ;

end til---------------------------------------------------------------m

INow get the FFT of codes and put tham in a matrix of size length ( codes )X2048 if codes®«0, codes®1:28 ; end leearch all codes in this case codearray«zeros(length ( codes ),2048);

for k®l: length(codes ), codearray(k,: )-gps_resanpled(codes (k)) ;

end

Hl---------------------------------------------------------------III

Un the following we input data in blocks equal to a number of PN frames equal to no_cred. For example if no_pred=7, the the number lot samples from the gage is 2048·· 3· 7 = 43003, oo that in this case

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-34ta full 4 Mbyte collection would take about 93 iterations. Zach Siteration then performs the pred summation, cross-correlation, magssquared operation and suxtation with previous blocks for all dopplers land ail satellite vehicles specified.

b locksize-102 4 * s__per_f rame ‘no_pred;

e%art^alower_index-blocksize ; lc»length(codes);ld»length(dopps) ; prdata«zeros(lc*ld,2048) ;

no_blocks«fix((buffsize-10s_per_frame)/blocksize); lextra 60 or 120 amples

Ifor overlap-save allows impulse response to 160 or 120; see if_2_base m-file for n*l:no_blocks, start^estart+blocksize; [data,count )«gageread(filevals,start,blocksize+10*s_per_frame) ;

data«if_2_base(data,srate);

^Converts data to baseband and decimates to 12.048 MHz data-data(21:20+2048‘no_pred) ; Ireject edge effect data (overlaps eave) for k«l:lc, literate over SV

<img file="CA2667775A1_D0001.tif" />

for d=»l:ld, literate over dopplers df«doppler(k)+dopps(d);

rdata«*data . ·exp(- j ‘2*pi*df·(0:2048*no_pred-l ]/2 -048e6 ) ; rdata«sum(reshape(rdata,2048,no_pred)') ; Idoes pred eunrnation rdata^efft(rdata).‘ref ; Idoes matched filter

Icompensate for time elip per block which ie fdopp/fo times time Inoting that £doop/fo is doppler time slip per second timeslip«le-3‘no_pred*df/1575.42e6;

phase«exp(-j *2*pi‘timeslip*(n-l)*[0:1024J*le3); rdata(1:1025)«rdata(1:1025). *phase;

rdata( 1026:2048 ) «rdata ( 1026 :204 8 ) . ‘con j (phase( 1024:-1:2)),rdata«ifft(rdata);

rdata«real(rdata).*2+imag(rdata).“2 ; ^magnitude prdata{(k-1)*ld+d,:)«prdata((k-1) ‘ld+d,: )+rdate;

end end end

111

111 sv«[ ] ;, prar.ge«( | ; , sarin®( ] ; snrout=( ] ; svdopper=[ ] ;outdata«( ] ; iNow we look for peaks exceeding threshold for k«l:lc.

Hook at all SV¹ b and dopps z«prdata((k-1)*ld+(1 : Id ), ) ; Idata matrix for ev#k and all dopplers z«z-rnean(mean(z) ) ;

noise«sqrt(mean(mean(z.2))) ; threshold«5.7‘noise;

lyields Pfa less than le-4 per uoir.g all 123 ov's and 10 dopplera per SV indt=find(zcthreshold ) ;

noiee=sqrt(mean(mean(z(indt). *2))) ; Irefined noioe getting rid of signal d = z + 0.2 ‘max(mrotate ( z , -1 ) ,mrotate( z, 1 ) ) ; ^detection stat, eliminating

Ipicket fence problem Xfi.ndn max and location for each doopier

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CA 02667775 2009-06-03 •35(mxsv, indsv ] =max(maxd ) ; (find global peak for this sv if maxsv>threshold, (then «e detect this sv!

r=(maxsv/noise)'2 ; (peak to noise away iron peak snin=sqrt(r/(no_pred“2’no_postd)) ; (snrin via M.S analysis snrin®(snrin 10’log10(snin)];

(now find snrout at peak snout® {no_pred*2 ’r.ojostd ) · snin*2/( 1+2 · no__pred · snir. ) ; (via N.K anal. i··' snrout®( snrout 10·log!0 ( snout) ] ;

sv®(sv codes(k)];

d«z(indsv,: ) ; (data for best doppler outdata®(outdata d);

svdoppler®(svdoppler doppler{k)+dopp3(indsv)|; (best doppler ind0®indd(indsv) ; (best sample for best inds0®(ind0-4:ind0+4J ; (block of 9 data samples about indO; ninds=find(inds0&lt;*0) ;

pinds®find(inds0>2048) ;

if length(ninds)>0, (keep data to interpolate within range indsO(ninds)«indsO(ninds)+2048 ;

elseif length(pinds)>0, indsO(pinds)«indsO(pinds)-2040;

end dint®interp(d(indsO),10); (go to rate 20 H3z dint«interp(dint,10); (go to rate 200 MHz dint«interp(dint,5) ; (go to rate 1 GBz ( amax,imax|®raax(dint ) ; (find max indmax®min(find(dint>0.8’amax)) ; (max above 80( tmax®ind0+(indmax-2001)/500; (pseudorange in samples if tmax>®2048, tmax®tmax-2048;

elseif tmax&lt;0, tiii x®tmax+2 0 4 B ;

end tmax®tmax’500; (pseudorange in units of nsec prange®[prange tmax];

end end if length(ev)==0, (then there «ere no detections ev=0;prange®0 ;snrin=0;Bnrout=0;svdoppler=0;outcata=0;

end fclosej ¹ all’) ;

function y-qpscodes(num) (y®gpscodes( num ) (

( II. Krasner Jan. 22, 1996.

( ©Precision Tracking, Inc., San Jose, CA. 95117 *

(Returns all 1023 bit codes associated with satellite in an (array y of eize 37X1023. Each row in the code associated (with the satellite having the corresponding 10 number. That (is row 1 is the Pti (Gold) code of satellite 1, etc.

( (if num is specified then only one code with that number in

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-36%returned yL=pr.gen((3,10),102 3, ones]1,10)) ; y2»pngen((2,3,6,8,9,10],1023,ones]1,10));

delays=(5,6 7,8,17,18,139,140,141,251,252,254,255,255,257,258); delays»(delays,469,470,471,472,473,474,509 512,513.514,515,516H rfelays=(delays, 859 860 861 862 863 950 947 948 950);

if nargin»=0, for k»l;length]delays ), y(k,: )*xor(yl, rotate (y2,delays(k))) ;

end else, y»xor( y1, rotate (y2,delays( num) ) ) ;

end function z-gps_rsep(codcauober) t

% N. Krasner Feb. 16, 1996.

t OPrecision Tracking, Inc., San Jose, CA. 95117 %

(Returns the resampled Fourier transform of specified 1023 bit (GPS code, resampled to at rate 2048 k3z and weighted (with a sine function to emulate the transform of the (sequences consisting of a set of square pulsea, which lis ideally bandpass filtered to the first nulls (=1023 kHz).

I (If codenumber is 0, then all gpe codes are returned in a matrix (of size 37X2048.

(The transformed data contains real and imaginary components teach of which is rounded to 4 bit signed integers in the range 1(-7,7). This is the form stored in EPROM. This quanitization (minimizes required storage, but results in negligible loss of %performance.

(As in the function gpscodes, the returned value contains 37 trows each corresponding to the corresponding GPS code (row 1 (contains code 1, etc.) if all codes are requested.Each row is (of length 2048 and, as stated above contains complex words whose (campoments are integers in the range (-15,15].

(Note that thie function calls the function gpscodes to create (the various Gold codes.

if codenumber»»0, y»gpscodes;

elee, y»gpscodes(codenumber);

end (returns matrix 37X1023 of C?S codes ~2’y-l; «convert to =1 if coder.umber=»0, z»zeros(37,2048) ;

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-37for k=l;37, fyl=f£t(strezch(y( k, : ) , 2 ) ) ;

fyll®(fyl(1:1024). *sinc((0 :1023]/1023) 0 0); fyll=(fyll fyi(102 5 : 2046) .*sinc((1022 :-1:1]/1023) ]; z(k,:)=conj(fyl1) ; (need conjugate for matched filter end else, ·* fyl^fft ( stretch( y, 2 ) ) ;

fyl1®(fyl( 1 :1024 ).·sine([0 :1023|/1023) 0 0] fyll = (fyll fyl(1025:2046).*sinc((1022:-1:1)/1023)) ; z®conj(fyll) ; (need conjugate for matched filter end end z=round(z/20); (since max is 171.9 but few values are above 140 rz®min( real (z),7) ;rz=max(rz, - 7) ; (limit range iz=min(imag(z),7) ;iz=max(iz,-7) ; (limit range z=rz+j*iz;

function data_out-if_2_basc(data_in, rate ) (dat.a_out=if_2_base ( data_in ) ( ~ ( W. Krasner Feb. 20, 1996.

( OPrecision Tracking, Inc., San Jose, CA. 95117 (

( (If rate is missing or equals 0, then the input rate ie assumed (to be 3*2048 kHz. If rate equals 1, then it is 6*2048 kHz.

( (Converts data from GAGE digitizer sampled at either 3*2048 kBz (or 6*2048 kBz with IF 6.144 KBz (3*2.048) centered at (35.42 -(1400/45)®4.308889 HBz to a complex (I,Q) stream (of data with sample rate 2.048 KBz centered at 0 (frequency (nominally). This routine does not compensate for (any doppler shifts on SV a, nor any LO drifts. Note that the output (data length is either 1/3 or 2/3 that of the input.

if nargin®=l, rate®0;end ifreq = 35.42 - (1400/45); (in HBz if rate®=0, lease where sample rate is 3*2048 kHz srate«3*2.048; 1 in KHz (sample rate for GAGE (u,v)®size(data_in) ; if u>v; data_in«data_in ’ ;end; ld*leng-th(data_in) ; c**exp(-j*2*pi*(0:ld-l ] ’ifreq/erate) ; (LO data_out«data in.’c; clear data in c (convert to 0 h=firl(50,.9/3.072);

data_out=filter( h,1,data_out) ; (filter to =1 KBz data_out«data_out(1: 3 : Id ) ; (decimate to yield 2.048 MHz erate else, (case where sample rate is 6*2048 kHz srate«6·2.048; ( in KBz (u,v]«size ( data_in ) ; i f u>v ; da ta_in®data_in ' ; end ; Id® length ( data_ir.) ; c=exp(-j *2 *pi·[0 : Id-1) ’ifreq/state ) ; (LO data_out=data_in.*c; clear data_in c (convert to 0 h=firl(100,.9?6.144);

data_out®filter(h,1,data_out) ; (filter to -L Mfiz data out®data_out(1:6 : Id); (decimate to yield 2.049 MHz state

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-38end function y=arotate(i,n) %y=mrotate(x,m); matrix rotation by m units % ¥ N. Krasner Feb. 20, 1996.

t ©Precision Tracking, Inc., San Jose, CA. 95117 m-round(m);

m=rera(m,lx);

if m>0, • y-[x(:,lx-m+1six) x(:,1 :lx-m)];

elseif m&lt;0, y»(X(: ,l-m:lx) x( : ,1:-m) ];

else, y»x;

end function y«pngen(taps,npts,f111) %pngen(taps,npts, fill ) t

% N. Krasner Feb. 13, 1995.

I ©Norman F. Krasner, San Carlos, CA. 94070 %

t PNGEN generates npts* number of points of the psuedo random

I sequence defined by a shift register of length n with feedback taps

I 'taps' and initial fill 'fill*. PN(npta, taps, fill) returns a t vector of length npts containing this sequence.

I A typical example (1,6,8,14] for R14, fill«(l zeros (1,13)] t

) If a single number is given in ‘taps* it is interpreted as

I the octal value specifying the taps, as in Peterson and Weldon.

For t example a code 2767 (octal) = 010 111 110 111. We delete the leading 0 t to get the polynomial 10 111 110 111. The feedbeck taps for this case % are found by ignoring the first one and choosing the remaining Ones * % to get position. For this case the taps are thus 234568910.

if length(taps)==1, taps=8printf( 't.Of', taps) ;ntaps= [ ] ;

if taps(1)=='1', ntaps= (1] ;

<td> elseif</td><td> taps(1)»='2',</td><td> , ntaps=(</td><td></td><td> 1 (</td><td> )</td>

<td> elseif</td><td> taps (1)*='3',</td><td> ntaps=(</td><td> I</td><td> 1</td><td> 1</td>

<td> elseif</td><td> taps (1)=='4 * ,</td><td> ntaps=(</td><td> 1</td><td> 0</td><td> 0</td>

<td> elseif</td><td> taps(1)= ='5',</td><td> ntaps=(</td><td> 1</td><td> 0</td><td></td>

<td> elsei f</td><td> taps(1)«='6',</td><td> ntaps=(</td><td> 1</td><td> 1</td><td> 0</td>

<td> eleeif</td><td> tape(1)=='7',</td><td> ntaps=(</td><td> 1</td><td> 1</td><td> 1</td>

<td> end</td><td></td><td></td><td></td><td></td><td></td>

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-39for k*2: length( taps )

<td> if</td><td> taps (k)==’0',</td><td> r.taps*( ntaps</td><td> 0</td><td> 0</td><td> 0</td><td> 1;</td>

<td> elseif</td><td> taps]k)==‘1’,</td><td> ntaps*]ntaps</td><td> 0</td><td> 0</td><td> 1</td><td> 1 ;</td>

<td> elseif</td><td> taps(k)«='2·,</td><td> ntaps*(ntaps</td><td> 0</td><td> 1</td><td> 0</td><td> 1 &lt;·</td>

<td> elseif</td><td> taps]k)==‘3‘,</td><td> ntaps*(ntaps</td><td> 0</td><td> 1</td><td> 1</td><td> 1;</td>

<td> ,, elseif</td><td> taps]k)==‘4·,</td><td> ntaps=[ntaps</td><td> 1</td><td> 0</td><td> 0</td><td> );</td>

<td> elseif</td><td> taps]k)==‘5',</td><td> ntaps*(ntaps</td><td> 1</td><td> 0</td><td> 1</td><td> I;</td>

<td> elseif</td><td> taps]k)==‘6‘,</td><td> ntaps*(ntaps</td><td> 1</td><td> 1</td><td> 0</td><td> );</td>

<td> elseif end</td><td> taps]k)== * 7‘,</td><td> ntaps=(ntaps</td><td> 1</td><td> 1</td><td> 1</td><td> 1;</td>

<td> end ntaps(1)=(</td><td> ];</td><td></td><td></td><td></td><td></td><td></td>

<td colspan="2"> taps=find(ntaps);</td><td></td><td></td><td></td><td></td><td></td>

<td> end</td><td></td><td></td><td></td><td></td><td></td><td></td>

<td> n*max(taps ) ;</td><td></td><td></td><td></td><td></td><td></td><td></td>

<td colspan="2"> if nargin&lt;«2, fill=(l zeros(1</td><td> ,n-1)];end</td><td></td><td></td><td></td><td></td>

if nargin==l, npts={2~n)-l; end y = zeros (1,npts) ;

x « zeros( 1 , n) ;

x = fill]length]fill ) :-1;1) ; for i»l:npts y(i) « x(n);

x*( rem]sum]x( tops )),2), x]l:n-1) ]; end function (file_vals, sample_ratc| = gageopen (filcaaae)

I Read gage formatted file, with particular number of samples X function (file_vals, sample_rate] = gageopen]filename)

X t 8. Wilson Jan. 13, 1996.

X ©Precision Tracking, Inc., San Jose, CA. 95117 file_vala]l) = fopen]filename, 'r’) ;

(eample_rate, aample_depth, head_vals, operation_mode] * rdgghead]file_vals{1)) ;

file_vals(2) = operation_mode; file_vals(3) = eample_depth;

file_vals{4 :6) = head_vals(1:3) function (buf, count] « gageread (file_Tale, e tart,uumeaaplce) X Read gage formatted file, with particular number of samples X function (buf, count] = gageread]file_vais,etart, numsamples )

X B. Wilson Jan. 13, 1996.

X ©Precision Tracking, Inc., San Jose, CA. 95117

X flies vais

X Γ- file id

X 2 - operation_mode - if =1; file is memory image interleave oample_depth long; = 2 memory image

X 3 - eamplc_depth

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I

CA 02667775 2009-06-03

-40l ns 2 numsamples/2; fid = file_vals)1) ;

if (file_vals(2 ) == 2) buf = zeros( r.urasarr.ples, 1 ) ;

fresult ” fseek)fid,512 + szart,-1) ; % move to requested point in jjata portion of file (buf, count] = freed(fid, numsamples, 'uchar');

else buf = zeros (ns2,2) ;

fresult “ fseek)fid,512+(start/2),-1) ; % move to requested point in data portion of file (buf(:,1), cl] = fread)fid, ns2, 'uchar') ;

fresult « fseek(fid,512+(start/2)+file_valB(3),-1) ; X move to BANK B, portion of memory image (buf):,2), c2) = freadffid, ns2, 'uchar');

count = cl ♦ c2 ;

buf = reshape (buf ‘ , nuras arap les,1) ;

end

I buf - buf - 128;

function ( eajnplc_ratc , eaAple_depth, head_+ale, operation_modc ] — rdgghead)fid) % Pead gage formatted header % B. Wilson Jan. 13, 1996.

% OPrecieion Tracking, Inc., San Jose, CA. 95117 t

% %

lsarapie_rate =

[1,2,S,Î0,20,50,100,200,500,1000,2000,5000,10000,20000,50000) ; eajnple_rate_table = (1,2,4,5,10?l2.5.20.25,30,40,50,60,100,120,125,150,200,250);

I

<td> fresult « feeek)fid,0,-1) ; % trap “ freed)fid,14,’char') ;</td><td> ».</td><td> rewind the file</td>

<td> β = eetstr( trap') ; \</td><td></td><td></td>

<td> fresult - fseek)fid,16,-1) ;</td><td> %</td><td> move to name variable</td>

<td> tmp = fread(fid,9,'char') ;</td><td></td><td></td>

<td> ename = setstr( trap') ; %</td><td></td><td></td>

<td> fresult « feeek(£id,287,-1};</td><td> %</td><td> move to index to sample rate table</td>

variable sample_rate_index = fread)fid,1, 'int16') ;

if )aample_rate_index == 42) % 42 is 'external'

Baraple_rate = -1;

elee amp 1 c_rate = samplc_ratc_table( aajr.ple_ratc_ir.dcx - 17 ) ;

end %

fresult = fseek)fid,289 , -1 ) ; % move to index to operation mode variable cperation_mode = freed) fid, 1, ' i.-.tl6 ' ) %% if )operation_mode == I)

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-41•1% sample_rate = sample_rate / 2;

II end «

fresult = f seek( fid, 301,-1 ) ; I move to sample_depth variable sample_depth = fread(fid,1,‘int32’) if(operation_mode == 1 )

S- sample depth “ sample_depth / 2 I seems like a 'bug' to me if (sample_depth == 4194304) sample_depth = sample_depth /2 end end;

I fresult fseek(fid,313,-1) ; I move to starting_address head_vals « freadjfid,3, ’int32‘) ;

I fresult « fseek( fid,339,-1) ; I move to sample_depth variable resolution 12 bits « fread(fid,1, ¹intl6') ;

I fresult f seek( f id, 345 ,-1 ) ; I move to sample_depth variable sample offset = freed ( fid, 1, ' inti 6 ' ) ;

I fresult » fseek(fid,349,-1) ; I move to sample_depth variable aample_bits = fread(fid,1,‘inti 6') ;

function y«rotate(x,q) ly«rotate(x,q)

IRotates vector by q places

I H. Krasner Nov. 28, 1995.

I ONorman Krasner, San Carlos, CA. 94070

Ilf q is deleted this rotates a vector by interchanging the first and last half lof the vector. If the vector is odd in length the mid point is Iplaced at the beginning of the new vector.

I

Ilf q is present and >0 this rotates the vector x right by q positions; e.g.

lif x=(l 1010), then rotate(x,2) yields y=(1 0110). If q is &lt;0 then

Ithis rotates x to the left.

(m,n)=size(x);mn=max(m,n);

if nargin>1,q»rem(q,mn); end if m>l â n?l, error(’Thia function works only for vectors, not matrices .');end if m>l,x-x';end if nargin==l, if remjmn,2)==0, pivot=l+mn/2; else pivot=(mn+1)/2 ; end y=(x(pivot:nn) x(1:pivot-l)|; elseif aba(q)>0, if q<0, q=q*mn;end tfix for shifts left y=(x(mn-q+1:mn) x(l:mn-q)|;

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-42else y=x;

end end if m> 1 ,y®y ‘; end function iSîdc(ï) (z«sinc(x)

4_N. Krasner April 21, 1991 ( ONorean Krasner, San Carlos, CA. 94070 (

(Definition: sinc(x) = sin(pi«x)/(pi*x), where x is a vector/matrix.

(sinc(x)««l if x«0 indl«find(x««0) ;

ind2=find{x-=0) ;

z=x;

x(indl)’ones(1, length(indl)) ;

x(ind2)®sin(pi*x(ind2))./(pi*x(ind2)) ;

z(:)«x;

function z-stretch(eignal.period) (function z=stretch( signal,period ) (

% N. Krasner March 12, 1995 ( OKonaan Krasner, San Carlos, CA. 94070 (This function stretchs a signal by replacing each element (with m identical elements; . m is specified by 'period.

(u,v)-size(signal);

if u>l 4 v>l error('This function works only for vector inputs.'); end if u>l, signal=signal';end a«ones( period,1)·signal ;

z = a(: )';z-conj(z);

if u>l, s=conj(z');end function y-xor(a,b); (function y«xor(a,b); (Exclusive or, term by term, of two vectors t N. Krasner June 13, 1994 ( ©Norman Krasner, San Carlos, CA. 94070 y~(ai-b )[ (b«-a);

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