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.

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