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State estimation utilizing multiple description coding over lossy networks

Jin, Zhipu and Gupta, Vijay and Hassibi, Babak and Murray, Richard M. (2005) State estimation utilizing multiple description coding over lossy networks. In: 2005 44th IEEE Conference on Decision and Control & European Control Conference. IEEE Conference on Decision and Control. IEEE , Piscataway, NJ, pp. 872-878. ISBN 0-7803-9567-0

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For state estimation in networked control systems, the impact of packet dropping over network links is an important problem. In this paper, we introduce multiple description (MD) source coding scheme to improve the statistical stability and performance of the estimation error covariance of Kalman filter with packet loss. We consider about two cases: when the packet loss over network links occurs in an i.i.d. fashion or in a bursty fashion. Compared with the traditional single description source coding, MD coding scheme can greatly improve the performance of Kalman filter over a large set of packet loss scenarios in both cases.

Item Type:Book Section
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Murray, Richard M.0000-0002-5785-7481
Additional Information:© 2005 IEEE. Issue Date: 12-15 Dec. 2005. Date of Current Version: 30 January 2006. The authors would like to thank Prof. Michelle Effros for those valuable discussions and comments. This work is supported in part by AFOSR grant FA9550-04-1-0169 and NSF-ITR grant CCR-0326554.
Funding AgencyGrant Number
Air Force Office of Scientific Research (AFOSR)FA9550-04-1-0169
Record Number:CaltechAUTHORS:20110818-111717130
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Official Citation:Zhipu Jin; Gupta, V.; Hassibi, B.; Murray, R.M.; , "State Estimation Utilizing Multiple Description Coding over Lossy Networks," Decision and Control, 2005 and 2005 European Control Conference. CDC-ECC '05. 44th IEEE Conference on , vol., no., pp. 872- 878, 12-15 Dec. 2005 doi: 10.1109/CDC.2005.1582267 URL:
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:24933
Deposited By: Tony Diaz
Deposited On:18 Aug 2011 21:18
Last Modified:18 Mar 2015 23:10

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