Title :
Maximum Likelihood Parameter Estimation of Nakagami-Gamma Shadowed Fading Channels
Author :
Bouhlel, Nizar ; Dziri, Ali
Author_Institution :
Lab. U2S, Ecole Nat. d´Ing. de Tunis, Tunis, Tunisia
Abstract :
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.
Keywords :
Nakagami channels; expectation-maximisation algorithm; maximum likelihood estimation; EM iteration; ML method; Nakagami-gamma shadowed fading channel; estimation technique; expectation-maximization algorithm; maximum likelihood parameter estimation; Compounds; Fading; Maximum likelihood estimation; Method of moments; Nakagami distribution; Wireless communication; Expectation Maximization algorithm; Maximum Likelihood; Nakagami-gamma distribution; Shadowed fading channels; expectation maximization algorithm; maximum likelihood; shadowed fading channels;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2015.2394293
