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Distributed target tracking based on belief propagation consensus

Vladimir Savic ; Henk Wymeersch (Institutionen för signaler och system, Kommunikationssystem) ; Santiago Zazo
2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO), Bucharest, 27-31 August 2012 (2219-5491). p. 544-548. (2012)
[Konferensbidrag, refereegranskat]

Distributed target tracking in wireless sensor networks (WSN) is an important problem, in which agreement on the target state can be achieved using particle filters with standard consensus methods, which may 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.

Nyckelord: Consensus, belief propagation, distributed target tracking, particle filtering, wireless sensor networks

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Denna post skapades 2012-12-11. Senast ändrad 2013-05-08.
CPL Pubid: 167438


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Denna publikation är ett resultat av följande projekt:

Cooperative Situational Awareness for Wireless Networks (COOPNET) (EC/FP7/258418)

Robust and Fault-Tolerant Cooperative Positioning (VR//2010-5889)