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

Olama, Mohammed M.; Jaladhi, Kiran K.; Djouadi, Seddik M.; Charalambous, Charalambos D.

doi:https://doi.org/10.1155/2007/17206

Journal of Electrical and Computer Engineering

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Research Letter | Open Access

Volume 2007 | Article ID 017206 | https://doi.org/10.1155/2007/17206

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

Mohammed M. Olama,¹Kiran K. Jaladhi,¹Seddik M. Djouadi,¹and Charalambos D. Charalambous²

Academic Editor: Peter Handel

Received19 Jul 2007

Accepted11 Nov 2007

Published05 Dec 2007

Abstract

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.

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Copyright

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.

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