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

Savic, Vladimir and Wymeersch, Henk and Penna, Federico and Zazo Bello, Santiago (2011). Optimized edge appearance probability for cooperative localization based on tree-reweighted nonparametric belief propagation. In: "2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)", 22/05/2011 - 27/05/2011, Praga, República Checa. ISBN 978-1-4577-0538-0.

Description

Title: Optimized edge appearance probability for cooperative localization based on tree-reweighted nonparametric belief propagation
Author/s:
  • Savic, Vladimir
  • Wymeersch, Henk
  • Penna, Federico
  • Zazo Bello, Santiago
Item Type: Presentation at Congress or Conference (Article)
Event Title: 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Event Dates: 22/05/2011 - 27/05/2011
Event Location: Praga, República Checa
Title of Book: Proceedings of 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Date: 2011
ISBN: 978-1-4577-0538-0
Subjects:
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Señales, Sistemas y Radiocomunicaciones
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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 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.

More information

Item ID: 12194
DC Identifier: http://oa.upm.es/12194/
OAI Identifier: oai:oa.upm.es:12194
Official URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5946296
Deposited by: Memoria Investigacion
Deposited on: 30 Aug 2012 10:32
Last Modified: 21 Apr 2016 11:23
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