Radar Target Detection via Global Optimality Conditions for Binary Quadratic Programming

This paper considers the problem of radar target detection in compound Gaussian clutter background. Different from the existing detector design criteria, we propose two new detection schemes for the detection problem from the optimization perspective. Specifically, in the first scheme, the detection...

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Veröffentlicht in:	IEEE transactions on signal processing Jg. 71; S. 1 - 16
Hauptverfasser:	Zhao, Wenjing, Cui, Guolong, Jin, Minglu, Wang, Yumiao
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.01.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	binary quadratic programming Clutter Data integration Design criteria Detectors False alarms global optimality conditions Maximum likelihood estimation non-Gaussian clutter Object detection Optimization Parameter estimation Quadratic programming Radar Radar clutter Radar detection Radar target detection Radar targets Sensors Statistical analysis Statistical distributions Target detection
ISSN:	1053-587X, 1941-0476
Online-Zugang:	Volltext
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