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Type: Congresso
Title: Maximum Likelihood Estimator For The Alpha-kappa-mu Fading Environment
Author: Batista
Fernando Palma; de Souza
Rausley A. A.; Oliveira Ribeiro
Antonio Marcelo
Abstract: In this Paper, an estimator of the alpha-kappa-mu 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 non-linear 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 alpha-kappa-mu 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 alpha, kappa, and mu. The results conclude that the estimator variations about its sample mean are smaller for the a parameter.
Editor: IEEE
New York
Citation: 2016 Ieee Wireless Communications And Networking Conference. Ieee, p. , 2016.
Rights: fechado
Date Issue: 2016
Appears in Collections:Unicamp - Artigos e Outros Documentos

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