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 |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.