Fault tolerant distributed target tracking with intermittent observations in wireless sensor networks

被引：0

作者：

Yang X.-J. ^{[1
]}

Shan B.-W. ^{[1
]}

Liang Z.-H. ^{[1
]}

Xu X.-F. ^{[2
]}

机构：

[1] School of Information Engineering, Chang'an University, Xi'an

[2] School of Electrical and Control Engineering, Chang'an University, Xi'an

来源：

Kongzhi yu Juece/Control and Decision | 2016年 / 31卷 / 06期

关键词：

Cubature Kalman filter; Distributed estimation; Multi-model estimation; Target tracking;

D O I：

10.13195/j.kzyjc.2015.0733

中图分类号：

学科分类号：

摘要：

This paper presents an adaptive fault tolerant distributed target tracking algorithm for wireless sensor networks with intermittent observation based on the multi-model method and consensus information filtering. The loss and arrival of the observation are modeled as a Markov process. The posterior probabilities of intermittent observation loss and arrival are estimated in the framework of Cubature information filtering. The information contributions of each local sensor are calculated via the combination of measurement model probability. The fault tolerance to intermittent observations is obtained based on multi-model estimation. Simulation results show the effectiveness and fault tolerance of the proposed algorithm. © 2016, Editorial Office of Control and Decision. All right reserved.

引用

页码：1032 / 1036

页数：4

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