Name
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. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/CDC.2009.5400362 | CDC |
Keywords | Field | DocType |
statistical distributions,radio links,stochastic systems,linear quadratic gaussian control,cognitive radio,state estimation,inverted pendulum system stabilization,receiver,bernoulli distribution,linear stochastic discrete-time systems,unreliable communication links,sensor,optimal estimation,pendulums,nonlinear control systems,packet loss,linear quadratic gaussian controller,discrete time systems,radio receivers,linear systems,telecommunication control,stability,information loss,mathematical model,inverted pendulum,kalman filters,strontium,sensors,emerging technology,estimation,linear quadratic gaussian | Mathematical optimization,Linear system,Linear-quadratic-Gaussian control,Control theory,Computer science,Minimax estimator,Network packet,Packet loss,Optimal estimation,Cognitive radio,Estimator | Conference |
ISSN | ISBN | Citations |
0191-2216 E-ISBN : 978-1-4244-3872-3 | 978-1-4244-3872-3 | 3 |
PageRank | References | Authors |
0.59 | 12 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiao Ma | 1 | 52 | 7.33 |
| Seddik M. Djouadi | 2 | 216 | 42.08 |
| Teja P. Kuruganti | 3 | 3 | 3.30 |
| James J. Nutaro | 4 | 43 | 10.11 |
| Husheng Li | 5 | 902 | 94.77 |