Optimized edge appearance probability for cooperative localization based on tree-reweighted nonparametric belief propagation
2011 (English)In: Proc. of IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP), 2011, 3028-3031 p.Conference paper, Presentation (Refereed)
Nonparametric belief propagation (NBP) is a well-known particle-based method for distributed inference in wireless networks. NBP has a large number of applications, including cooperative localization. However, in loopy networks NBP suffers from similar problems as standard BP, such as over-confident beliefs and possible non-convergence. Tree-reweighted NBP (TRW-NBP) can mitigate these problems, but does not easily lead to a distributed implementation due to the non-local nature of the required so-called edge appearance probabilities. In this paper, we propose a variation of TRW-NBP, suitable for cooperative localization in wireless networks. Our algorithm uses a fixed edge appearance probability for every edge, and can outperform standard NBP in dense wireless networks.
Place, publisher, year, edition, pages
2011. 3028-3031 p.
Cooperative localization, nonparametric belief propagation, tree-reweighted belief propagation, wireless networks
Engineering and Technology Signal Processing Communication Systems
IdentifiersURN: urn:nbn:se:liu:diva-81420DOI: 10.1109/ICASSP.2011.5946296ISBN: 978-1-4577-0538-0OAI: oai:DiVA.org:liu-81420DiVA: diva2:552321
IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP), Prague, Czech Rep.