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Type: Artigo
Title: Maximum likelihood estimator for the α-η-μ fading environment
Author: Batista, Fernando Palma
Souza, Rausley A. A. de
Ribeiro, Antonio Marcelo O.
Abstract: In this paper, an estimator of the α-η-μ distribution is proposed based on the maximum likelihood (ML) estimation method, and verified with samples generated by three different random number generators: i) by the definition, ii) by the rejection method and iii) by the Smith Spectrum method. This distribution has been recently proposed to model the received field strength in a non-linear and non-line-of-sight scenario. 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-η-μ distribution is derived and verified against chosen true values of the parameters by means of a simulation
Subject: Estimação de máxima verossimilhança
Editor: IEEE Communications Society
Rights: Fechado
Identifier DOI: 10.1109/RWS.2016.7444385
Date Issue: 2016
Appears in Collections:FEEC - Artigos e Outros Documentos

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