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Robust Distributed Kalman Filter for Wireless Sensor Networks with Uncertain Communication Channels
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-06-03
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Kim, Du Yong& Jeon, Moongu. 2012. Robust Distributed Kalman Filter for Wireless Sensor Networks with Uncertain Communication Channels. Mathematical Problems in Engineering،Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-1001424
Modern Language Association (MLA)
Kim, Du Yong& Jeon, Moongu. Robust Distributed Kalman Filter for Wireless Sensor Networks with Uncertain Communication Channels. Mathematical Problems in Engineering No. 2012 (2012), pp.1-12.
https://search.emarefa.net/detail/BIM-1001424
American Medical Association (AMA)
Kim, Du Yong& Jeon, Moongu. Robust Distributed Kalman Filter for Wireless Sensor Networks with Uncertain Communication Channels. Mathematical Problems in Engineering. 2012. Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-1001424
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1001424