Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/353794
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dc.contributor.CRUESPUNIVERSIDADE ESTADUAL DE CAMPINASpt_BR
dc.contributor.authorunicampRibeiro, Antonio Marcelo Oliveira-
dc.typeArtigopt_BR
dc.titleMaximum likelihood estimator for the α-κ-μ fading environmentpt_BR
dc.contributor.authorBatista, Fernando Palma-
dc.contributor.authorSouza, Rausley A. A. de-
dc.contributor.authorRibeiro, Antonio Marcelo Oliveira-
dc.subjectEstimação de máxima verossimilhançapt_BR
dc.subject.otherlanguageMaximum likelihood estimationpt_BR
dc.description.abstractIn 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 parameterpt_BR
dc.relation.ispartofIEEE wireless communications and networking conferencept_BR
dc.publisher.cityNew York, NYpt_BR
dc.publisher.countryEstados Unidospt_BR
dc.publisherIEEE Communications Societypt_BR
dc.date.issued2016-
dc.date.monthofcirculationSept.pt_BR
dc.language.isoengpt_BR
dc.rightsFechadopt_BR
dc.sourceWOSpt_BR
dc.identifier.issn1525-3511pt_BR
dc.identifier.eissn1558-2612pt_BR
dc.identifier.doi10.1109/WCNC.2016.7564734pt_BR
dc.identifier.urlhttps://ieeexplore.ieee.org/document/7564734pt_BR
dc.date.available2021-01-08T15:09:37Z-
dc.date.accessioned2021-01-08T15:09:37Z-
dc.description.provenanceSubmitted by Thais de Brito Barroso (tbrito@unicamp.br) on 2021-01-08T15:09:37Z No. of bitstreams: 0. Added 1 bitstream(s) on 2021-03-08T18:36:40Z : No. of bitstreams: 1 000388603100098.pdf: 529116 bytes, checksum: 4a0c36dc9e1b0c11581d9141004254e0 (MD5)en
dc.description.provenanceMade available in DSpace on 2021-01-08T15:09:37Z (GMT). No. of bitstreams: 0 Previous issue date: 2016en
dc.identifier.urihttp://repositorio.unicamp.br/jspui/handle/REPOSIP/353794-
dc.description.conferencenomeIEEE Wireless Communications and Networking Conference (WCNC)pt_BR
dc.contributor.departmentSem informaçãopt_BR
dc.contributor.unidadeFaculdade de Engenharia Elétrica e de Computaçãopt_BR
dc.identifier.source000388603100098pt_BR
dc.creator.orcid0000-0001-5205-9504pt_BR
dc.type.formArtigopt_BR
dc.identifier.articleid16303605pt_BR
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