Memorias de investigación
Communications at congresses:
Optimized edge appearance probability for cooperative localization based on tree-reweighted nonparametric belief propagation
Year:2011
Research Areas
  • Processing and signal analysis
Information
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.
International
Si
Congress
IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP)
960
Place
Prague, Czech Rep.
Reviewers
Si
ISBN/ISSN
978-1-4577-0537-3
10.1109/ICASSP.2011.5946296
Start Date
22/05/2011
End Date
27/05/2011
From page
3028
To page
3031
Proc. of IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP)
Participants
  • Autor: Vladimir Savic . UPM
  • Autor: Henk Wymeersch Chalmers University of Technology
  • Autor: Federico Penna Politecnico de Torino
  • Autor: Santiago Zazo Bello UPM
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Aplicaciones del Procesado de Señal (GAPS)
  • Departamento: Señales, Sistemas y Radiocomunicaciones