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Distributed Target Tracking based on Belief Propagation Consensus
Technical University of Madrid, Spain. (Signal Processing Applications Group)
Chalmers University of Technology, Sweden.
Technical University of Madrid, Spain. (Signal Processing Applications Group)
2012 (English)In: Proc. of the 20th European Signal Processing Conference (EUSIPCO), 2012, 544-548 p.Conference paper, Oral presentation only (Refereed)
Abstract [en]

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.
Keyword [en]
Consensus, belief propagation, distributed target tracking, particle filtering, wireless sensor networks
National Category
Engineering and Technology Signal Processing Communication Systems
Identifiers
URN: urn:nbn:se:liu:diva-81431OAI: oai:DiVA.org:liu-81431DiVA: diva2:552444
Conference
European Signal Processing Conference (EUSIPCO), Bucharest, Romania
Available from: 2012-09-14 Created: 2012-09-14 Last updated: 2012-09-21

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Distributed Target Tracking based on Belief Propagation Consensus

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Savic, Vladimir
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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
  • html
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  • asciidoc
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