Persymmetric parametric adaptive matched filters for detecting targets using space-time adaptive processing of radar signals
A method provides space-time adaptive processing (STAP) for target detection using adaptive matched filters (AMF). 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 ma...
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Main Authors | , , |
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Format | Patent |
Language | English |
Published |
09.10.2012
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Online Access | Get full text |
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Summary: | A method provides space-time adaptive processing (STAP) for target detection using adaptive matched filters (AMF). 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 subject to a persymmetric constraint. |
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