Consensus Based Distributed Particle Filter in Sensor Networks

摘要：

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.

作者: Dongbing Gu Junxi Sun Zhen Hu Hongzuo Li

作者单位: Department of Computing and Electronic systems University of Essex Colchester,United Kingdom Changchun University of Science and Technology No.7089,WeiXing Road,Changchun P.R.China

会议类型: 国际会议

会议名称: 2008 IEEE International Conference on Onformation and Automation(IEEE 信息与自动化国际会议)

会议地点: 张家界

会议语种:英文

页码: 302-307

在线出版日期: 2008-06-20（万方平台首次上网日期，不代表论文的发表时间）