Memorias de investigación
Ponencias en congresos:
Optimized edge appearance probability for cooperative localization based on tree-reweighted nonparametric belief propagation
Año:2011
Áreas de investigación
  • Procesado y análisis de la señal
Datos
Descripción
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.
Internacional
Si
Nombre congreso
IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP)
Tipo de participación
960
Lugar del congreso
Prague, Czech Rep.
Revisores
Si
ISBN o ISSN
978-1-4577-0537-3
DOI
10.1109/ICASSP.2011.5946296
Fecha inicio congreso
22/05/2011
Fecha fin congreso
27/05/2011
Desde la página
3028
Hasta la página
3031
Título de las actas
Proc. of IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP)
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Vladimir Savic . UPM
  • Autor: Henk Wymeersch Chalmers University of Technology
  • Autor: Federico Penna Politecnico de Torino
  • Autor: Santiago Zazo Bello UPM
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Aplicaciones del Procesado de Señal (GAPS)
  • Departamento: Señales, Sistemas y Radiocomunicaciones