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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| Subjects | |
| 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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| Bibliography: | Application Number: US20100954254 |