dc.creatorOliveira Ribeiro
dc.creatorAntonio Marcelo; Conforti
dc.creatorEvandro
dc.date2015
dc.date2016-06-07T13:32:52Z
dc.date2016-06-07T13:32:52Z
dc.date.accessioned2018-03-29T01:48:38Z
dc.date.available2018-03-29T01:48:38Z
dc.identifier
dc.identifierAsymptotically Efficient Moment-based Estimator Of The Kappa Parameter For The Kappa - Mu Distribution. Ieee-inst Electrical Electronics Engineers Inc, v. 14, p. 598-601 2015.
dc.identifier1536-1225
dc.identifierWOS:000350743600006
dc.identifier10.1109/LAWP.2014.2372001
dc.identifierhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6963311
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/243558
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1307256
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.descriptionThe kappa - mu distribution is a general fading model applied to predict multipath faded envelope in wireless channels, under a line-of-sight propagation condition. However, its algebraic moment-based estimator of the parameter kappa available in the literature depends on higher-order statistical moments, which impose a high penalty over the estimator efficiency. In this letter, we have proposed a new moment-based estimator of the parameter kappa, which depends on a simple average of the normalized envelope and takes advantage of lower estimation errors. We have proved that the proposed estimator is asymptotically efficient, from a practical point of view, since its normalized asymptotic variance closely attained the Cramer-Rao lower bound for the useful range of kappa. In addition, big sample size Monte Carlo simulations have revealed that the algebraic estimator is positively biased with a highly broad sample confidence region, in contrast to the almost unbiased proposed estimator with a much narrower sample confidence region. Furthermore, the proposed estimator yielded a much lower sample variance for the wide range of sample number when compared to the algebraic one.
dc.description14
dc.description
dc.description
dc.description598
dc.description601
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.descriptionCNPq [501281/2013-4]
dc.descriptionFAPESP [07-56024-4]
dc.description
dc.description
dc.description
dc.languageen
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.publisher
dc.publisherPISCATAWAY
dc.relationIEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS
dc.rightsfechado
dc.sourceWOS
dc.subjectEta-mu
dc.titleAsymptotically Efficient Moment-based Estimator Of The Kappa Parameter For The Kappa - Mu Distribution
dc.typeArtículos de revistas


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