Maximum Likelihood Parameter Estimation of Nakagami-Gamma Shadowed Fading Channels

被引：14
|
作者：
Bouhlel, Nizar [1 ]
Dziri, Ali [2 ]
机构：
[1] Ecole Natl Ingn Tunis, Lab U2S, Tunis 1002, Tunisia
[2] Conservatoire Natl Arts & Metiers, F-75003 Paris, France
来源：
IEEE COMMUNICATIONS LETTERS | 2015年 / 19卷 / 04期
关键词：
Nakagami-gamma distribution; shadowed fading channels; maximum likelihood; expectation maximization algorithm; ALGORITHM; SUBJECT; PDF;
D O I：
10.1109/LCOMM.2015.2394293
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
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.
引用
收藏
页码：685 / 688
页数：4
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