Multi-target FIR tracking algorithm for Markov jump linear systems based on true-target decision-making

Most existing multi-target tracking (MTT) algorithms are based on Kalman filters (KFs). However, KFs exhibit poor estimation performance or even diverge when system models have parameter uncertainties. To overcome this drawback, finite impulse response (FIR) filters have been studied; these are more...

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Vydané v:	Neurocomputing (Amsterdam) Ročník 168; s. 298 - 307
Hlavní autori:	Lee, Chang Joo, Pak, Jung Min, Ahn, Choon Ki, Min, Kyung Min, Shi, Peng, Lim, Myo Taeg
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 30.11.2015
Predmet:	Finite impulse response (FIR) filter Markov jump linear system (MJLS) Multi-target FIR tracking algorithm (MTFTA) Multi-target tracking (MTT) True-target decision making Finite impulse response (FIR) filter Multi-target tracking (MTT) Markov jump linear system (MJLS) Multi-target FIR tracking algorithm (MTFTA) True-target decision making
ISSN:	0925-2312, 1872-8286
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