Maximum Likelihood Estimator For The Alpha-eta-mu Fading Environment

dc.creatorBatista
dc.creatorFernando Palma; de Souza
dc.creatorRausley A. A.; Ribeiro
dc.creatorAntonio Marcelo O.
dc.date2016
dc.date2017-11-13T13:44:49Z
dc.date2017-11-13T13:44:49Z
dc.date.accessioned2018-03-29T05:59:30Z
dc.date.available2018-03-29T05:59:30Z
dc.identifier978-1-4673-9806-0
dc.identifier2016 Ieee Radio And Wireless Symposium (rws). Ieee, p. 133 - 136, 2016.
dc.identifier2164-2958
dc.identifierWOS:000382152600038
dc.identifierhttp://ieeexplore.ieee.org/document/7444385/
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/328870
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1365895
dc.descriptionIn this paper, an estimator of the alpha-eta-mu 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 alpha-eta-mu distribution is derived and verified against chosen true values of the parameters by means of a simulation.
dc.description133
dc.description136
dc.descriptionIEEE Radio and Wireless Symposium (RWS)
dc.descriptionJAN 24-27, 2016
dc.descriptionAustin, TX
dc.description
dc.languageEnglish
dc.publisherIEEE
dc.publisherNew York
dc.relation2016 IEEE Radio and Wireless Symposium (RWS)
dc.rightsfechado
dc.sourceWOS
dc.subjectFading Channel
dc.subjectMaximum Likelihood Estimation
dc.subjectAlpha-eta-mu
dc.titleMaximum Likelihood Estimator For The Alpha-eta-mu Fading Environment
dc.typeActas de congresos


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