28 April 2010 A subspace-based parameter estimation algorithm for Nakagami-m fading channels
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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.
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Sohail Dianat, Raghuveer Rao, "A subspace-based parameter estimation algorithm for Nakagami-m fading channels", Proc. SPIE 7706, Wireless Sensing, Localization, and Processing V, 77060P (28 April 2010); doi: 10.1117/12.849605; https://doi.org/10.1117/12.849605
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