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[BD15] Maximum Likelihood parameter estimation of Nakagami-gamma shadowed fading channels

Revue Internationale avec comité de lecture : Journal IEEE Communications Letters, vol. 19(04), pp. 1-4, 2015, (doi:10.1109/LCOMM.2015.2394293)

Mots clés: shadowing, Nakagami-gamma distribution, Maximum Likelihood, estimation,

Résumé: In this paper, we investigate the performance of the Maximum Likelihood (ML) method to estimate the parameters of compound Nakagami-gamma shadowed fading channels. We derived analytically the ML estimates of the Nakagami-gamma distribution by using the Expectation-Maximization (EM) algorithm. Numerical simulations demonstrate the outperformance of the EM algorithm in terms of accuracy versus the moment-based estimation technique. Moreover, the EM iterations converge to the global optimum.

Equipe: laetitia
Collaboration: LISTIC

BibTeX

@article {
BD15,
title="{Maximum Likelihood parameter estimation of Nakagami-gamma shadowed fading channels}",
author="N. BOUHLEL and A. Dziri",
journal="IEEE Communications Letters",
year=2015,
volume=19,
number=04,
pages="1-4",
doi="10.1109/LCOMM.2015.2394293",
}