Maximum Likelihood Estimator for the α-κ-μ Fading Environment

被引:0
作者
Batista, Fernando Palma [1 ]
de Souza, Rausley A. A. [1 ]
Oliveira Ribeiro, Antonio Marcelo [2 ]
机构
[1] Inatel, Natl Inst Telecommun, Santa Rita Do Sapucai, MG, Brazil
[2] Univ Estadual Campinas, UNICAMP, Campinas, SP, Brazil
来源
2016 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE | 2016年
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中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
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.
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页数:6
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