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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 |
Address: | https://ieeexplore.ieee.org/document/7444385 |
Date Issue: | 2016 |
Appears in Collections: | FEEC - Artigos e Outros Documentos |
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