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ICASSP
2011
IEEE

Optimized edge appearance probability for cooperative localization based on tree-reweighted nonparametric belief propagation

8 years 10 months ago
Optimized edge appearance probability for cooperative localization based on tree-reweighted nonparametric belief propagation
Nonparametric belief propagation (NBP) is a well-known particlebased 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 nonconvergence. 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 TRWNBP, 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.
Vladimir Savic, Henk Wymeersch, Federico Penna, Sa
Added 21 Aug 2011
Updated 21 Aug 2011
Type Journal
Year 2011
Where ICASSP
Authors Vladimir Savic, Henk Wymeersch, Federico Penna, Santiago Zazo
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