文献类型：期刊文献

英文题名：Optimal consensus-based distributed estimation with intermittent communication

作者：Yang, Wen[1];Wang, Xiaofan[2];Shi, Hongbo[1]

机构：[1]E China Univ Sci & Technol, Dept Automat, Shanghai 200237, Peoples R China;[2]Shanghai Jiao Tong Univ, Dept Automat, Shanghai 200030, Peoples R China

年份：2011

卷号：42

期号：9

起止页码：1521

外文期刊名：INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE

收录：;EI(收录号：20113014170210);WOS:【SCI-EXPANDED(收录号:WOS:000292760000008)】；

基金：The authors would like to thank Ling Shi at HKUST for valuable discussions and comments. This work was supported by the National Basic Research Program of China (973 Program) under Grant No. 2010CB731400, the NSF of P.R. China under Grant No. 61074125, the NSF of P.R. China under Grant No. 61074079, Shanghai Leading Academic Discipline Project under Grant No. B504 and the Specialised Research Fund for the Doctoral Program of Higher Education of China under Grant No. H200-B-1011 and Natural Science Foundation of Shanghai under Grant No. 11ZR1409700.

语种：英文

外文关键词：distributed Kalman estimation; consensus protocol; intermittent communication; sensor network

摘要：In this article, we consider the problem of distributed state estimation over a wireless sensor network (WSN). We firstly propose a distributed algorithm to estimate the state of a system by modelling the WSN as a directed network. Based on the Kalman filter, we introduce a consensus scheme for each sensor by including the estimates received from its neighbour sensors. We also consider intermittent and random data packet drops which are frequently seen in wireless networks. A sufficient condition is derived for the convergence of the state estimation error, and a upper bound is obtained for the estimation error covariance. We further consider minimising the estimation error by finding an optimal consensus gain for a given fixed network. The performance and effectiveness of the proposed algorithm are compared with existing well-known results from the literature.