Distributed Target Tracking based on Belief Propagation Consensus
2012 (English)In: Proc. of the 20th European Signal Processing Conference (EUSIPCO), 2012, 544-548 p.Conference paper, Presentation (Refereed)
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.
Place, publisher, year, edition, pages
2012. 544-548 p.
Consensus, belief propagation, distributed target tracking, particle filtering, wireless sensor networks
Engineering and Technology Signal Processing Communication Systems
IdentifiersURN: urn:nbn:se:liu:diva-81431OAI: oai:DiVA.org:liu-81431DiVA: diva2:552444
European Signal Processing Conference (EUSIPCO), Bucharest, Romania