Descripción
|
|
---|---|
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. | |
Internacional
|
Si |
Nombre congreso
|
European Signal Processing Conference EUSIPCO 2012 |
Tipo de participación
|
960 |
Lugar del congreso
|
Bucharest (Romania) |
Revisores
|
Si |
ISBN o ISSN
|
2076-1465 |
DOI
|
|
Fecha inicio congreso
|
27/08/2012 |
Fecha fin congreso
|
31/08/2012 |
Desde la página
|
544 |
Hasta la página
|
548 |
Título de las actas
|
European Signal Processing Conference (EUSIPCO), Bucharest, Romania |