Title :
Radio Fading Channel Modeling, Estimation and Identification Based on the Measurement Data
Author :
Charalambous, C.D. ; Bultitude, R.J.C. ; Zhan, J. ; Papageorgiou, I.G.
Author_Institution :
Dept. of Electr. & Comput. Eng., NICOSIA
Abstract :
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 filtering. The algorithm is tested against measurement data collected by the Canadian Communication Research Center (CRC), and the results are presented. These include state space models and estimates of the inphase and quadrature components of the channel from measured data
Keywords :
Kalman filters; fading channels; identification; optimisation; state-space methods; Kalman filter; expectation-maximization algorithm; state space form; system identification; wireless fading channels; Cyclic redundancy check; Differential equations; Fading; Filtering algorithms; Frequency estimation; Kalman filters; Mathematical model; Radio transmitters; State-space methods; System identification;
Conference_Titel :
Intelligent Control, 2005. Proceedings of the 2005 IEEE International Symposium on, Mediterrean Conference on Control and Automation
Conference_Location :
Limassol
Print_ISBN :
0-7803-8936-0
DOI :
10.1109/.2005.1467051
