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|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|
|Editor:||IEEE Communications Society|
|Appears in Collections:||FEEC - Artigos e Outros Documentos|
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