Robust distributed Kalman filter for wireless sensor networks with uncertain communication channels

Kim, D and Jeon, M 2012, 'Robust distributed Kalman filter for wireless sensor networks with uncertain communication channels', Mathematical Problems in Engineering, vol. 2012, 238597, pp. 1-12.


Document type: Journal Article
Collection: Journal Articles

Title Robust distributed Kalman filter for wireless sensor networks with uncertain communication channels
Author(s) Kim, D
Jeon, M
Year 2012
Journal name Mathematical Problems in Engineering
Volume number 2012
Article Number 238597
Start page 1
End page 12
Total pages 12
Publisher Hindawi Publishing Corporation
Abstract We address a state estimation problem over a large-scale sensor network with uncertain communication channel. Consensus protocol is usually used to adapt a large-scale sensor network. However, when certain parts of communication channels are broken down, the accuracy performance is seriously degraded. Specifically, outliers in the channel or temporal disconnection are avoided via proposed method for the practical implementation of the distributed estimation over large-scale sensor networks. We handle this practical challenge by using adaptive channel status estimator and robust L1-norm Kalman filter in design of the processor of the individual sensor node. Then, they are incorporated into the consensus algorithm in order to achieve the robust distributed state estimation. The robust property of the proposed algorithm enables the sensor network to selectively weight sensors of normal conditions so that the filter can be practically useful.
Subject Signal Processing
DOI - identifier 10.1155/2012/238597
Copyright notice © 2012 Du Yong Kim and Moongu Jeon. Creative Commons Attribution License
ISSN 1024-123X
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 7 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 0 times in Scopus Article
Altmetric details:
Access Statistics: 6 Abstract Views  -  Detailed Statistics
Created: Thu, 31 Jan 2019, 11:26:00 EST by Catalyst Administrator
© 2014 RMIT Research Repository • Powered by Fez SoftwareContact us