Texto completo
Vista Previa |
PDF (Portable Document Format)
- Se necesita un visor de ficheros PDF, como GSview, Xpdf o Adobe Acrobat Reader
Descargar (400kB) | Vista Previa |
Distributed target tracking based on belief propagation consensus
Cita
Savic, Vladimir, Wymeersch, Henk and Zazo Bello, Santiago 
ORCID: https://orcid.org/0000-0001-9073-7927
(2012).
Distributed target tracking based on belief propagation consensus.
En: "20th European Signal Processing Conference (EUSIPCO)", 27/08/2012 - 31/08/2012, Bucharest, Romania. pp. 544-548.
ORCID: https://orcid.org/0000-0001-9073-7927
(2012).
Distributed target tracking based on belief propagation consensus.
En: "20th European Signal Processing Conference (EUSIPCO)", 27/08/2012 - 31/08/2012, Bucharest, Romania. pp. 544-548.
Descripción
| Título: | Distributed target tracking based on belief propagation consensus |
|---|---|
| Autor/es: |
|
| Tipo de Documento: | Ponencia en Congreso o Jornada (Artículo) |
| Título del Evento: | 20th European Signal Processing Conference (EUSIPCO) |
| Fechas del Evento: | 27/08/2012 - 31/08/2012 |
| Lugar del Evento: | Bucharest, Romania |
| Título del Libro: | European Signal Processing Conference (EUSIPCO) |
| Fecha: | 2012 |
| Materias: | |
| ODS: | |
| Palabras Clave Informales: | Consensus, belief propagation, distributed target tracking, particle filtering, wireless sensor networks |
| Escuela: | E.T.S.I. Telecomunicación (UPM) |
| Departamento: | Señales, Sistemas y Radiocomunicaciones |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
Resumen
Distributed target tracking in wireless sensor networks (WSN) is an important problem, in which agreement on the target state can be achieved using conventional consensus methods, which take long to converge. We propose distributed particle filtering based on belief propagation (DPF-BP) consensus, a fast method for target tracking. According to our simulations, DPF-BP provides better performance than DPF based on standard belief consensus (DPF-SBC) in terms of disagreement in the network. However, in terms of root-mean square error, it can outperform DPF-SBC only for a specific number of consensus iterations.
Más información
| ID de Registro: | 20160 |
|---|---|
| Identificador DC: | https://oa.upm.es/20160/ |
| Identificador OAI: | oai:oa.upm.es:20160 |
| URL Oficial: | http://ieeexplore.ieee.org/xpl/articleDetails.jsp?... |
| Depositado por: | Memoria Investigacion |
| Depositado el: | 30 Sep 2013 16:57 |
| Ultima Modificación: | 21 Abr 2016 22:36 |
Acciones
- Estadísticas
- Exportar cita
- Editar (sólo personal del Archivo)
