Published December 2005
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State estimation utilizing multiple description coding over lossy networks
Abstract
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.
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.Attached Files
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Additional details
- Eprint ID
- 24933
- Resolver ID
- CaltechAUTHORS:20110818-111717130
- Air Force Office of Scientific Research (AFOSR)
- FA9550-04-1-0169
- NSF
- CCR-0326554
- Created
-
2011-08-18Created from EPrint's datestamp field
- Updated
-
2021-11-09Created from EPrint's last_modified field
- Series Name
- IEEE Conference on Decision and Control