Distributed target tracking based on belief propagation consensus
Paper in proceeding, 2012

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.

distributed target tracking

belief propagation


wireless sensor networks

particle filtering


Vladimir Savic

Henk Wymeersch

Chalmers, Signals and Systems, Communication, Antennas and Optical Networks

Santiago Zazo

European Signal Processing Conference

22195491 (ISSN)

978-1-4673-1068-0 (ISBN)

Cooperative Situational Awareness for Wireless Networks (COOPNET)

European Commission (EC) (EC/FP7/258418), 2011-05-01 -- 2016-04-30.

Areas of Advance

Information and Communication Technology

Subject Categories

Communication Systems

Signal Processing



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