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seeking parametric adaptive matched filter of the estimated spatial correlation matrix and the estimated time correlation matrix between the space-time a method for detecting a target in the radar signal using the adaptive processing

机译:寻找估计的空间相关性矩阵和估计的时间相关性矩阵的参数自适应匹配滤波器之间的时空一种使用自适应处理检测雷达信号中目标的方法

摘要

PROBLEM TO BE SOLVED: To provide space-time adaptive processing (STAP) for target detection using adaptive matched filters (AMF).;SOLUTION: A generalized likelihood ratio test (GLRT) is determined where spatial and temporal correlation matrices Q and A are assumed. Then, the correlation matrices A and Q are replaced with maximum likelihood (ML) estimates obtained only from training signals 302 subject to a persymmetric constraint. The embodiments of this invention take advantages of both a multichannel-AR-based parametric adaptive matched filter (PAMF), and an underlying persymmetry constraint to provide a persymmetric PAMF (per-PAMF) 300.;COPYRIGHT: (C)2012,JPO&INPIT
机译:要解决的问题:使用自适应匹配滤波器(AMF)为目标检测提供时空自适应处理(STAP)。解决方案:确定广义似然比测试(GLRT),其中假设空间和时间相关矩阵Q和A 。然后,将相关矩阵A和Q替换为仅从经受过对称约束的训练信号302获得的最大似然(ML)估计。本发明的实施例利用了基于多通道AR的参数自适应匹配滤波器(PAMF)和基础的对称性约束两者的优点,以提供一种全对称PAMF(每PAMF)300。版权所有:(C)2012,JPO&INPIT

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