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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. +
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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.
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15 May 2016 06:17:55 + |
URL This property is a special property in this wiki.
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http://www.cds.caltech.edu/~murray/preprints/jgm05-automatica.pdf + |
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State Estimation Over Packet Dropping Networks Using Multiple Description Coding + | Title |
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