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

页码：685 / 688

页数：4

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