@inproceedings{07d04bef5f244ed385412fb7dd8acb1b,
title = "Optimal estimation over unreliable communication links with application to cognitive radio",
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.",
author = "Xiao Ma and Djouadi, {Seddik M.} and Kuruganti, {Teja P.} and Nutaro, {James J.} and H. Li",
year = "2009",
doi = "10.1109/CDC.2009.5400362",
language = "English",
isbn = "9781424438716",
series = "Proceedings of the IEEE Conference on Decision and Control",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "4062--4067",
booktitle = "Proceedings of the 48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009",
note = "48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009 ; Conference date: 15-12-2009 Through 18-12-2009",
}