Optimal estimation over unreliable communication links with application to cognitive radio

Xiao Ma, Seddik M. Djouadi, Teja P. Kuruganti, James J. Nutaro, H. Li

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

This paper considers state estimation of linear stochastic discrete-time systems through an unreliable network. Packet losses from the sensor to the estimator are assumed to follow a Bernoulli distribution, while information loss is not assumed to be available at the receiver at any time. The optimal estimator provides a satisfactory estimate under unreliable communications as the estimator is used successfully in a Linear Quadratic Gaussian (LQG) controller to stabilize an inverted pendulum system, and comparison with an optimal estimator for which information loss at the receiver is available. The optimal estimator for a cognitive radio system is derived. Cognitive radio is an emerging technology with many promising applications. Cognitive radio can be considered as a combination of packet loss with and without acknowledgement in the dynamical model. An illustrative example shows that the optimal estimator improves the performance largely.

Original languageEnglish
Title of host publicationProceedings of the 48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4062-4067
Number of pages6
ISBN (Print)9781424438716
DOIs
StatePublished - 2009
Event48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009 - Shanghai, China
Duration: Dec 15 2009Dec 18 2009

Publication series

NameProceedings of the IEEE Conference on Decision and Control
ISSN (Print)0743-1546
ISSN (Electronic)2576-2370

Conference

Conference48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009
Country/TerritoryChina
CityShanghai
Period12/15/0912/18/09

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