Multiple hypotheses tracking based distributed fusion using decorrelated pseudo measurement sequence

A joint probabilistic data association based algorithm for multi-target tracking in clutter using the distributed tracking architecture has been proposed recently. The algorithm uses the decorrelated state estimates or equivalent pseudo measurements. This paper extends the previous approach to the m...

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Vydané v:	2004 American Control Conference Proceedings; Volume 5 of 6 Ročník 5; s. 4750 - 4751 vol.5
Hlavní autori:	Mallick, M., Pao, L.Y., Chang, K.C.
Médium:	Konferenčný príspevok.. Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway NJ IEEE 01.01.2004 Evanston IL American Automatic Control Council
Predmet:	Additive noise Applied sciences Computational complexity Computer architecture Computer errors Computer science; control theory; systems Control theory. Systems Covariance matrix Decorrelation Distributed computing Exact sciences and technology Measurement errors Modelling and identification State estimation Target tracking Target tracking Probabilistic approach Clutter Distributed algorithm
ISBN:	9780780383357, 0780383354
ISSN:	0743-1619
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