Full text
|
PDF
- Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (400kB) | Preview |
Savic, Vladimir and Wymeersch, Henk and Zazo Bello, Santiago (2012). Distributed target tracking based on belief propagation consensus. In: "20th European Signal Processing Conference (EUSIPCO)", 27/08/2012 - 31/08/2012, Bucharest, Romania. pp. 544-548.
Title: | Distributed target tracking based on belief propagation consensus |
---|---|
Author/s: |
|
Item Type: | Presentation at Congress or Conference (Article) |
Event Title: | 20th European Signal Processing Conference (EUSIPCO) |
Event Dates: | 27/08/2012 - 31/08/2012 |
Event Location: | Bucharest, Romania |
Title of Book: | European Signal Processing Conference (EUSIPCO) |
Date: | 2012 |
Subjects: | |
Freetext Keywords: | Consensus, belief propagation, distributed target tracking, particle filtering, wireless sensor networks |
Faculty: | E.T.S.I. Telecomunicación (UPM) |
Department: | Señales, Sistemas y Radiocomunicaciones |
Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
|
PDF
- Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (400kB) | Preview |
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.
Item ID: | 20160 |
---|---|
DC Identifier: | https://oa.upm.es/20160/ |
OAI Identifier: | oai:oa.upm.es:20160 |
Official URL: | http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6333786 |
Deposited by: | Memoria Investigacion |
Deposited on: | 30 Sep 2013 16:57 |
Last Modified: | 21 Apr 2016 22:36 |