CFAR detection of chirplets in coloured gaussian noise

被引：0

作者：

López-Risueño, G ^{[1
]}

Grajal, J ^{[1
]}

Yeste-Ojeda, OA ^{[1
]}

机构：

[1] Univ Politecn Madrid, ETSIT, Dept Senales Sistemas & Radiocomunicac, E-28040 Madrid, Spain

来源：

2003 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL VI, PROCEEDINGS: SIGNAL PROCESSING THEORY AND METHODS | 2003年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Two detectors based on the GLRT are presented to detect a chirplet in coloured Gaussian noise for known and unknown covariance structure, respectively. They are applied to detect multiple chirplets by atomic decomposition, which is modified to account for the operation conditions of both detectors. Both detectors are CFAR with respect to the noise power. The second one is CFAR with respect to the covariance structure as well.

引用

页码：741 / 744

页数：4