An Adaptive Subspace Detector for Unknown Interference in Partially Homogeneous Environments
A technology of unknown interference and detectors, applied in the field of multi-channel active phased array radar, can solve problems such as radar target detection problems, and achieve good target detection performance and good detection performance
Active Publication Date: 2022-07-05
AIR FORCE EARLY WARNING ACADEMY
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[0005] The purpose of the present invention is to solve the problem of radar target detection when there is unknown interference in a partially uniform environment
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[0018] The present invention will be further described below with reference to the accompanying drawings and specific embodiments. Let the number of channels of the multi-channel radar be N, the data to be detected can be represented by an N×1-dimensional column vector x. When there is a target, it is assumed that the target can be described by a subspace of dimension p, and the corresponding signal subspace can be represented by an N×p-dimensional column full-rank matrix A. When the target and interference are included in the data to be detected, x can be written as
[0019] x=Aθ+j+n (1)
[0020] Among them, the p×1-dimensional column vector θ represents the unknown amplitude of the signal, the N×1-dimensional column vector j represents the unknown interference, the N×1-dimensional column vector n represents the sum of thermal noise and clutter components in the data to be detected, and n obeys The mean is zero and the covariance matrix is R t Gaussian distribution. R i...
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The invention discloses an adaptive subspace detector under unknown interference in a partially uniform environment. The method first performs singular value decomposition on the signal steering matrix to obtain the basis matrix corresponding to the interference candidate subspace; then uses the basis matrix and the sampling covariance matrix to perform interference whitening matching filtering on the data to be detected; and then uses the sampling covariance matrix to be detected. The data is whitened and filtered; the difference between the whitening matched filtering output of the data to be detected and the interference whitening matched filtering output of the data to be detected is calculated, and then normalized to form a detector; according to the detector and the preset false alarm probability, use Monte Carlo The Luo method determines the detection threshold; the detector output is compared with the detection threshold, if the former is greater than the latter, the target is determined to exist, otherwise, the target is determined not to exist. Compared with the traditional detection method, the method designed by the present invention has better detection performance under unknown interference environment, and has CFAR characteristics, without independent CFAR processing.
Description
technical field [0001] The invention relates to a subspace adaptive detector under completely unknown interference in a partially uniform environment, and is particularly suitable for multi-channel active phased array radar. Background technique [0002] There are many radar target detection methods in a homogeneous environment. However, due to the complex and changeable terrain and the use of special radar array structures, the actual radar clutter usually presents non-uniform characteristics. Partially homogeneous environment is a common type of non-homogeneous model in practical applications, which means that the clutter covariance matrix in the data to be tested and the training sample data has the same structure but there is an unknown power mismatch. Compared with the homogeneous environment, the detector designed based on the partially homogeneous environment has better robustness to the radar environment. [0003] In addition to clutter in the actual environment, th...
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IPC IPC(8): G01S13/04G01S7/41
CPCG01S7/414G01S13/04
Inventor 刘维建王永良段克清杜庆磊王国师周必雷
Owner AIR FORCE EARLY WARNING ACADEMY