Nova Patents
US20120249361A1

Method for Detecting Targets Using Space-Time Adaptive Processing

Claim Score by NHIP

Read claim 1, the broadest

Abstract

A method for detecting a target in a non-homogeneous environment using a space-time adaptive processing of a radar signal includes normalizing training data of the non-homogeneous environment to produce normalized training data; determining a normalized sample covariance matrix representing the normalized training data; tracking a subspace represented by the normalized sample covariance matrix to produce a clutter subspace matrix; determining a test statistic representing a likelihood of a presence of the target in the radar signal based on the clutter subspace matrix and a steering vector; and comparing the test statistic with a threshold to detect the target.

US20120249361A1, drawing sheet 1
Sheet 1 of 18

Term

Projected expiry 21 April 2033.

  1. Priority
  2. Filed
  3. Published
  4. Today
  5. Projected expiry

11 claims: 3 independent, 8 dependent

  1. 1
    Broadest claimClaim Score 64, broad(NHIP)A method for detecting a target in a non-homogeneous environment using space-time adaptive processing of a radar signal, comprising the steps of:normalizing training data of the non-homogeneous environment to produce normalized training data;representing the normalized training data as a normalized sample covariance matrix;tracking a subspace represented by the normalized sample covariance matrix to produce a clutter subspace matrix;determining a test statistic representing a likelihood of a presence of the target in the radar signal based on the clutter subspace matrix and a steering vector;and comparing the test statistic with a threshold to detect the target, wherein the steps are performed by a processor.
  2. 11
    A method for detecting a target in a radar signal of a non-homogeneous environment using a space-time adaptive processing, comprising the steps of:normalizing training data according to x ~ k = x k x k H  x k  /  K , to produce normalized training data;determining a normalized sample covariance matrix representing the normalized training data according to R ~ = 1 K  ∑ k = 1 K   x ~ k  x ~ k H ;tracking a subspace represented by the normalized sample covariance matrix uses a clutter subspace tracking according to {tilde over (R)}=Ũ MN×r λ r×r Ũ MN×r H +Iσ n 2 to produce a clutter subspace matrix U;determining a test statistic representing a likelihood of a presence of the target in the radar signal based on the clutter subspace matrix and a steering vector according to T invention = | s H  ( I - U ~  U ~ H )  x 0  | 2 ( s H  ( I - U ~  U ~ H )  s )  ( x 0 H  ( I - U ~  U ~ H )  x 0 H ) ;and comparing the test statistic with a threshold to detect the target, wherein {tilde over (R)} is a normalized sample covariance matrix, λ r×r is a diagonal matrix with most important r eigenvalues of the clutter subspace along the diagonal, σ n 2 is a noise variance, I is an identity matrix, Ũ MN×r is an estimated clutter subspace, x 0 is a target data vector under a test for target presence, s is a steering vector for a given Doppler and angle of arrival, wherein the steps are performed by a processor.
  3. 13
    A system for detecting a target in a radar signal of a non-homogeneous environment using a space-time adaptive processing, comprising:a phased-array antenna with multiple spatial channels for acquiring training data;a processor for normalizing the training data and for determining a normalized sample covariance matrix representing the normalized training data;and a tracking subspace estimator for tracking the normalized sample covariance matrix to produce a clutter subspace matrix, wherein the processor determines a test statistic representing a likelihood of a presence of the target in the radar signal based on the clutter subspace matrix and a steering vector and compares the test statistic with a threshold to detect the target.
Independent claims3