Adaptive polarimetric target detection with coherent radar

被引：0
|
作者：
Pastina, Debora [1 ]
Lombardo, Pierfrancesco [1 ]
Pedicini, Vincenzo [1 ]
Bucciarelli, Tullio [1 ]
机构：
[1] Univ of Rome `La Sapienza', Italy
来源：
IEEE National Radar Conference - Proceedings | 2000年
关键词：
Mathematical models - Matrix algebra - Maximum likelihood estimation - Polarimeters - Radar target recognition - Spurious signal noise;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
A constant false alarm rate (CFAR) adaptive polarimetric generalized likelihood ratio test (GLRT) detector has been proposed for the coherent detection of radar targets against a Gaussian background and its performance has been successfully characterized. A model based of such detector has been also derived by applying a similar GLRT approach to a structured covariance matrix. The application to live radar data demonstrates the performance improvement achievable in practice by exploiting the polarimetric information.
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页码：93 / 97
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