Maximum likelihood estimation of statistical properties of composite gamma-lognormal fading channels

被引：24

作者：

Dogandzic, A ^{[1
]}

Jin, J ^{[1
]}

机构：

[1] Iowa State Univ, Dept Elect & Comp Engn, ECpE, Ames, IA 50011 USA

来源：

IEEE TRANSACTIONS ON SIGNAL PROCESSING | 2004年 / 52卷 / 10期

关键词：

composite gamma-lognormal fading channels; EM algorithm; Newton-Raphson iteration;

D O I：

10.1109/TSP.2004.834265

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

We propose maximum likelihood (ML) methods for estimating the parameters of composite gamma-lognormal fading channels. Newton-Raphson and expectation-maximization (EM) algorithms are developed to compute the ML estimates of the mean and variance of the shadowing component, and the Nakagami-m parameter of the fading component. We also derive Cramer-Rao bounds (CRBs) for the unknown parameters. Numerical simulations demonstrate the performance of the proposed method.

引用

页码：2940 / 2945

页数：6

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