Joint Adaptive Sampling Interval and Power Allocation for Maneuvering Target Tracking in a Multiple Opportunistic Array Radar System

In this paper, a joint adaptive sampling interval and power allocation (JASIPA) scheme based on chance-constraint programming (CCP) is proposed for maneuvering target tracking (MTT) in a multiple opportunistic array radar (OAR) system. In order to conveniently predict the maneuvering target state of...

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Vydáno v:	Sensors (Basel, Switzerland) Ročník 20; číslo 4; s. 981
Hlavní autoři:	Han, Qinghua, Pan, Minghai, Long, Weijun, Liang, Zhiheng, Shan, Chenggang
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Switzerland MDPI 12.02.2020 MDPI AG
Témata:	best-fitting gaussian (bfg) chance-constraint programming (ccp) cramér-rao lower bound like (crlb-like) joint adaptive sampling interval and power allocation (jasipa) maneuvering target tracking (mtt) chance-constraint programming (CCP) Cramér-Rao lower bound like (CRLB-like) joint adaptive sampling interval and power allocation (JASIPA) maneuvering target tracking (MTT) best-fitting Gaussian (BFG)
ISSN:	1424-8220, 1424-8220
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