Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/353794
Type: Artigo
Title: Maximum likelihood estimator for the α-κ-μ fading environment
Author: Batista, Fernando Palma
Souza, Rausley A. A. de
Ribeiro, Antonio Marcelo Oliveira
Abstract: In this Paper, an estimator of the α-κ-μ distribution, based on the maximum likelihood (ML) estimation method, is proposed and verified. The technique is applied in samples generated by the Smith spectrum method, which is also a contribution in this paper. This distribution has been recently proposed to model the received field strength in a nonlinear environment with line-of-sight condition. Hence, efficient estimators are required to infer the parameters of the received signal amplitude distribution in propagation mediums modeled by it. The ML estimator for the α-κ-μ distribution is derived and verified against chosen true values of the parameters by means of a simulation. We verify that, for a large sample size, the estimators are unbiased, from a practical point of view, for the useful range of α, κ and μ. The results conclude that the estimator variations about its sample mean are smaller for the α parameter
Subject: Estimação de máxima verossimilhança
Country: Estados Unidos
Editor: IEEE Communications Society
Rights: Fechado
Identifier DOI: 10.1109/WCNC.2016.7564734
Address: https://ieeexplore.ieee.org/document/7564734
Date Issue: 2016
Appears in Collections:FEEC - Artigos e Outros Documentos

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