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Proceedings Paper

A subspace-based parameter estimation algorithm for Nakagami-m fading channels
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Paper Abstract

Estimation of channel fading parameters is an important task in the design of communication links such as maximum ratio combining (MRC). The MRC weights are directly related to the fading channel coefficients. In this paper, we propose a subspace based parameter estimation algorithm for the estimation of the parameters of Nakagami-m fading channels in the presence of additive white Gaussian noise. Comparisons of our proposed approach are made with other techniques available in the literature. The performance of the algorithm with respect to the Cramer-Rao bound (CRB) is investigated. Computer simulation results for different signal to noise ratios (SNR) are presented.

Paper Details

Date Published: 28 April 2010
PDF: 8 pages
Proc. SPIE 7706, Wireless Sensing, Localization, and Processing V, 77060P (28 April 2010); doi: 10.1117/12.849605
Show Author Affiliations
Sohail Dianat, Rochester Institute of Technology (United States)
Raghuveer Rao, Rochester Institute of Technology (United States)


Published in SPIE Proceedings Vol. 7706:
Wireless Sensing, Localization, and Processing V
Sohail A. Dianat; Michael D. Zoltowski, Editor(s)

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