dc.creator | Oliveira Ribeiro | |
dc.creator | Antonio Marcelo; Conforti | |
dc.creator | Evandro | |
dc.date | 2015 | |
dc.date | 2016-06-07T13:32:52Z | |
dc.date | 2016-06-07T13:32:52Z | |
dc.date.accessioned | 2018-03-29T01:48:38Z | |
dc.date.available | 2018-03-29T01:48:38Z | |
dc.identifier | | |
dc.identifier | Asymptotically 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.identifier | 1536-1225 | |
dc.identifier | WOS:000350743600006 | |
dc.identifier | 10.1109/LAWP.2014.2372001 | |
dc.identifier | http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6963311 | |
dc.identifier | http://repositorio.unicamp.br/jspui/handle/REPOSIP/243558 | |
dc.identifier.uri | http://repositorioslatinoamericanos.uchile.cl/handle/2250/1307256 | |
dc.description | Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) | |
dc.description | Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) | |
dc.description | The 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.description | 14 | |
dc.description | | |
dc.description | | |
dc.description | 598 | |
dc.description | 601 | |
dc.description | Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) | |
dc.description | Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) | |
dc.description | Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) | |
dc.description | Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) | |
dc.description | CNPq [501281/2013-4] | |
dc.description | FAPESP [07-56024-4] | |
dc.description | | |
dc.description | | |
dc.description | | |
dc.language | en | |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | |
dc.publisher | | |
dc.publisher | PISCATAWAY | |
dc.relation | IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS | |
dc.rights | fechado | |
dc.source | WOS | |
dc.subject | Eta-mu | |
dc.title | Asymptotically Efficient Moment-based Estimator Of The Kappa Parameter For The Kappa - Mu Distribution | |
dc.type | Artículos de revistas | |