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