A distributed particle filtering approach for multiple acoustic source tracking using an acoustic vector sensor network

Different centralized approaches such as least-squares (LS) and particle filtering (PF) algorithms have been developed to localize an acoustic source by using a distributed acoustic vector sensor (AVS) array. However, such algorithms are either not applicable for multiple sources or rely heavily on...

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Vydané v:	Signal processing Ročník 108; s. 589 - 603
Hlavní autori:	Zhong, Xionghu, Mohammadi, Arash, Premkumar, A.B., Asif, Amir
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.03.2015
Predmet:	Acoustic source tracking Acoustic sources Acoustic vector sensor Acoustics Algorithms Distributed posterior Cramér–Rao bound Filtering Filtration Mathematical analysis Particle filtering Sensor network Statistics Tracking Distributed posterior Cramér–Rao bound Acoustic vector sensor Particle filtering Acoustic source tracking Sensor network
ISSN:	0165-1684, 1872-7557
On-line prístup:	Získať plný text
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