Time varying wireless channel modeling, estimation, identification, and power control from measurements
AuthorOlama, M. M.
Djouadi, S. M.
Charalambous, Charalambos D.
SourceProceedings of the American Control Conference
Proceedings of the American Control Conference
Google Scholar check
MetadataShow full item record
This paper is concerned with a time-varying wireless channel modeling, its parameter estimation, system identification, and optimal power control from measurement data. The channel model is represented in state space form, while the Expectation Maximization algorithm and Kalman filtering are used in the channel parameter and state estimation, respectively. The inphase and quadrature components of the wireless channel and its parameters are estimated from received signal measurements. The proposed algorithm is tested using measurement data, and the results are presented. Moreover, an optimal power control algorithm based on the estimated parameters and channel states is proposed. Numerical results indicate that a significant gain in performance can be achieved using the proposed algorithms. © 2007 IEEE.
Showing items related by title, author, creator and subject.
Charalambous, Charalambos D.; Bultitude, R. J. C.; Zhan, J.; Papageorgiou, I. G. (2005)This paper is concerned with modeling and system identification of wireless channels. The models employed are in state space form, while the identification method uses the Expectation-Maximization (EM) algorithm and Kalman ...
Estimation and identification of time-varying long-term fading wireless channels with application to power control Olama, M. M.; Jaladhi, K. K.; Djouadi, S. M.; Charalambous, Charalambos D. (Institute of Electrical and Electronics Engineers Inc., 2007)This paper is concerned with modeling of time-varying wireless fading channels, parameter estimation, identification, and optimal power control from received signal measurements. Wireless channels are represented by ...
Olama, M. M.; Li, Y.; Djouadi, S. M.; Charalambous, Charalambos D. (2008)This paper is concerned with stochastic modeling of wireless fading channels, parameter estimation, and system identification from measurement data. Wireless channels are represented by stochastic state-space form, whose ...