Eigendecomposition of the multi-channel covariance matrix with applications to SAR-GMTI

被引:42
|
作者
Sikaneta, IC
Chouinard, JY
机构
[1] Def Res & Dev Canada Ottawa, Ottawa, ON K1A 0Z4, Canada
[2] Univ Laval, Dept Elect & Comp Engn, Quebec City, PQ G1K 7P4, Canada
关键词
SAR; GMTI; covariance matrix; eigenvalues; eigenvectors; CFAR; DPCA; along-track interferometry; heterogeneous;
D O I
10.1016/j.sigpro.2004.05.028
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper investigates ground moving target indication using a multiaperture synthetic aperture radar. Target detectors based on an eigendecomposition of the multi-channel covariance matrix are presented. Comparisons of the proposed detectors with classical methods, such as displaced phase centre antenna, or along track interferometry, show increased capability in heterogeneous terrain. By decomposing the complex Wishart probability distribution of the sample covariance matrix into probability distributions of the eigenvalues and eigenvectors, we calculate the probability of moving target detection vs. the signal to clutter plus noise ratio for a fixed false alarm rate in homogeneous and heterogeneous terrain. The probability distributions allow implementation of a constant false alarm rate detector. The complete analysis is presented for a two-channel system. (C) 2004 Elsevier B.V. All rights reserved.
引用
收藏
页码:1501 / 1535
页数:35
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