Memorias de investigación
Artículos en revistas:
Reducing Communication Overhead for Cooperative Localization Using Nonparametric Belief Propagation
Año:2012
Áreas de investigación
  • Procesado y análisis de la señal
Datos
Descripción
A number of methods for cooperative localization has been proposed, but most of them provide only location estimate, without associated uncertainty. On the other hand, nonparametric belief propagation (NBP), which provides approximated posterior distributions of the location estimates, is expensive mostly because of the transmission of the particles. In this paper, we propose a novel approach to reduce communication overhead for cooperative positioning using NBP. It is based on: i) communication of the beliefs (instead of the messages), ii) approximation of the belief with Gaussian mixture of very few components, and iii) censoring. According to our simulations results, these modifications reduce significantly communication overhead while providing the estimates almost as accurate as the transmission of the particles.
Internacional
Si
JCR del ISI
No
Título de la revista
IEEE WIRELESS COMMUNICATIONS LETTERS
ISSN
2162-2337
Factor de impacto JCR
Información de impacto
Volumen
DOI
Número de revista
Desde la página
308
Hasta la página
311
Mes
SIN MES
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Participantes
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