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State Estimation Over Packet Dropping Networks Using Multiple Description Coding
Abstract For state estimation over a communication …
For state estimation over a communication network, efficiency and reliability of the network are critical issues. The presence of packet dropping and communication delay can greatly impair our ability to measure and predict states. In this paper, multiple description (MD) codes, a type of network source codes, are used to compensate for this effect on Kalman filtering. We consider two packet dropping models: in one model, packet dropping occurs according to an independent and identically distributed (i.i.d.) Bernoulli random process and in the other model, packet dropping is bursty and occurs according to a Markov chain. We show that MD codes greatly improve the statistical stability and performance of Kalman filter over a large set of packet loss scenarios in both cases. Our conclusions are verified by simulation results.
usions are verified by simulation results.  +
Authors Zhipu Jin, Vijay Gupta, Richard M. Murray  +
ID 2005i  +
Source Submitted, <i>Automatica</i>, July 2005  +
Tag jgm05-automatica  +
Title State Estimation Over Packet Dropping Networks Using Multiple Description Coding +
Type Journal submission  +
Categories Papers
Modification date
This property is a special property in this wiki.
15 May 2016 06:17:55  +
URL
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http://www.cds.caltech.edu/~murray/preprints/jgm05-automatica.pdf  +
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