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Research Letters in Signal Processing
Volume 2007, Article ID 17206, 5 pages
Research Letter

Recursive Estimation and Identification of Time-Varying Long-Term Fading Channels

1Department of Electrical and Computer Engineering, The University of Tennessee, 1508 Middle Dr. Knoxville, TN 37996, USA
2Department of Electrical and Computer Engineering, University of Cyprus, P.O. Box 20537, 75 Kallipoleos Street, Nicosia 1678, Cyprus

Received 19 July 2007; Accepted 11 November 2007

Academic Editor: Peter Handel

Copyright © 2007 Mohammed M. Olama et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


This paper is concerned with modeling of time-varying wireless long-term fading channels, parameter estimation, and identification from received signal strength data. Wireless channels are represented by stochastic differential equations, whose parameters and state variables are estimated using the expectation maximization algorithm and Kalman filtering, respectively. The latter are carried out solely from received signal strength data. These algorithms estimate the channel path loss and identify the channel parameters recursively. Numerical results showing the viability of the proposed channel estimation and identification algorithms are presented.