DocumentCode :
2698653
Title :
Consensus based distributed particle filter in sensor networks
Author :
Gu, Dongbing ; Sun, Junxi ; Hu, Zhen ; Li, Hongzuo
Author_Institution :
Dept. of Comput. & Electron. Syst., Essex Univ., Colchester
fYear :
2008
fDate :
20-23 June 2008
Firstpage :
302
Lastpage :
307
Abstract :
This paper presents a distributed particle filter over sensor networks. We propose two major steps to make a particle filter to work in a distributed way. The first step is the estimation of global mean and covariance of weighted particles by using an average consensus filter. The second step is the propagation of the estimated global mean and covariance through state transition distribution and likelihood distribution by using an unscented transformation. Through this transformation, partial high order information of the estimated global mean and covariance can be incorporated into the estimates for non-linear models. Simulations of tracking tasks in a sensor network with 100 sensor nodes are given.
Keywords :
distributed sensors; particle filtering (numerical methods); consensus based distributed particle filter; covariance estimation; global mean estimation; likelihood distribution; sensor networks; state transition distribution; unscented transformation; Automation; Computational efficiency; Computer networks; Distributed computing; Message passing; Particle filters; Sensor systems; Statistical distributions; Statistics; Sun;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Automation, 2008. ICIA 2008. International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-2183-1
Electronic_ISBN :
978-1-4244-2184-8
Type :
conf
DOI :
10.1109/ICINFA.2008.4608015
Filename :
4608015
Link To Document :
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