Title :
Optimal Filtering Over Uncertain Wireless Communication Channels
Author :
Ma, Xiao ; Djouadi, Seddik M. ; Charalambous, Charalambos D.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Univ. of Tennessee, Knoxville, TN, USA
fDate :
6/1/2011 12:00:00 AM
Abstract :
In this letter, filtering over wireless communication channels subject to packet losses is considered. The packet losses are assumed to follow a Bernoulli distribution. The latter is interpreted as a special case of a Markov process for which hybrid filtering theory is shown to provide an exact solution. Unlike existing works where only the linear optimal state estimate is derived as a linear function of measurements, this paper shows that the optimal state estimate is in fact a nonlinear function of measurements. In addition, the optimal estimator is derived explicitly. Illustrative examples compare the performance of the linear optimal estimator and the optimal estimator, and show that the latter offer superior performance, in particular for unstable systems.
Keywords :
Markov processes; filtering theory; wireless channels; Bernoulli distribution; Markov process; hybrid filtering theory; linear function; linear optimal state estimattion; optimal filtering; packet losses; uncertain wireless communication channels; Delay; Estimation; Filtering theory; Kalman filters; Markov processes; Maximum likelihood detection; Sensors; Bernoulli; linear optimal estimator; optimal filtering; packet loss;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2011.2138134