Distributed target tracking based on belief propagation consensus
Data(s) |
2012
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Resumo |
Distributed target tracking in wireless sensor networks (WSN) is an important problem, in which agreement on the target state can be achieved using conventional consensus methods, which take long to converge. We propose distributed particle filtering based on belief propagation (DPF-BP) consensus, a fast method for target tracking. According to our simulations, DPF-BP provides better performance than DPF based on standard belief consensus (DPF-SBC) in terms of disagreement in the network. However, in terms of root-mean square error, it can outperform DPF-SBC only for a specific number of consensus iterations. |
Formato |
application/pdf |
Identificador | |
Idioma(s) |
eng |
Publicador |
E.T.S.I. Telecomunicación (UPM) |
Relação |
http://oa.upm.es/20160/1/INVE_MEM_2012_137127.pdf http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6333786 info:eu-repo/semantics/altIdentifier/doi/null |
Direitos |
http://creativecommons.org/licenses/by-nc-nd/3.0/es/ info:eu-repo/semantics/openAccess |
Fonte |
European Signal Processing Conference (EUSIPCO) | 20th European Signal Processing Conference (EUSIPCO) | 27/08/2012 - 31/08/2012 | Bucharest, Romania |
Palavras-Chave | #Telecomunicaciones #Robótica e Informática Industrial |
Tipo |
info:eu-repo/semantics/conferenceObject Ponencia en Congreso o Jornada PeerReviewed |