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Memorias de investigación
Artículos en revistas:
Nonparametric Generalized Belief Propagation based on Pseudo-Junction Tree for Cooperative Localization in Wireless Networks
Año:2013
Áreas de investigación
  • Tecnología electrónica y de las comunicaciones
Datos
Descripción
Non-parametric belief propagation (NBP) is a well-known message passing method for cooperative localization in wireless networks. However, due to the over-counting problem in the networks with loops, NBP?s convergence is not guaranteed, and its estimates are typically less accurate. One solution for this problem is non-parametric generalized belief propagation based on junction tree. However, this method is intractable in large-scale networks due to the high-complexity of the junction tree formation, and the high-dimensionality of the particles. Therefore, in this article, we propose the non-parametric generalized belief propagation based on pseudo-junction tree (NGBP-PJT). The main difference comparing with the standard method is the formation of pseudo-junction tree, which represents the approximated junction tree based on thin graph. In addition, in order to decrease the number of high-dimensional particles, we use more informative importance density function, and reduce the dimensionality of the messages. As by-product, we also propose NBP based on thin graph (NBP-TG), a cheaper variant of NBP, which runs on the same graph as NGBP-PJT. According to our simulation and experimental results, NGBP-PJT method outperforms NBP and NBP-TG in terms of accuracy, computational, and communication cost in reasonably sized networks.
Internacional
Si
JCR del ISI
Si
Título de la revista
Eurasip Journal on Advances in Signal Processing
ISSN
1687-6180
Factor de impacto JCR
0,807
Información de impacto
Volumen
DOI
Número de revista
Desde la página
1
Hasta la página
15
Mes
SIN MES
Ranking
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Participantes
  • 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
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