Estima??o de par?metros por m?xima verossimilhan?a para ambientes generalizados do canal sem fio

Detalhes bibliográficos
Autor(a) principal: Batista, Fernando Palma
Data de Publicação: 2015
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Biblioteca Digital de Teses e Dissertações da INATEL
Texto Completo: http://tede.inatel.br:8080/tede/handle/tede/8
Resumo: In this Master thesis, Maximum Likelihood (ML) estimators for the parameters of the a-k-u and a-n-u distributions are proposed. These general distributions have been used to model the envelope of the received signal in different scenarios, and they have been considered applicable from a practical point of view. The a-k-u and a-n-u distributions have parameters that characterize specifically the behavior of the envelope of the signal that propagates through communication channels modeled by them. That way, in the modeling of the communication systems that operate in a-k-u and a-n-u environments, it is necessary to know the values of the parameters of the distributions. Hence, efficient estimators are used to infer them from samples of the signal?s envelope, aiming to provide an exchange of information with quality and in a reliable way. The ML parameter estimators for the a-k-u and a-n-u distributions are proposed and verified against true values of the parameters by means of simulations. The samples used in the estimation are generated by three different random sequence generators, and a comparison of the performance of the estimators for the samples generated by different methods is done. Besides, this work presents a comparison of the theoretical and estimated probability density functions of the signal?s envelope and an analysis of the variances of the estimators considering a lower bound. The results show that the estimators obtained were capable of predicting, with a good performance, the behavior of the envelope of the signal that propagates in the mobile channel. As an original contribution of this research, the simplified expressions for the log-likelihood function of the a-k-u and a-n-u distributions were found, as well as their derivatives in respect to the parameters of the distributions. Besides, the Smith Spectrum method for random numbers generation was adapted to generate random samples following the distributions regarding this thesis.
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spelling Souza, Rausley Adriano Amaral de996.751.536-87http://lattes.cnpq.br/6238219709706103Lopes, Waslon Terllizzie Ara?johttp://lattes.cnpq.br/5041048659000127Alberti, Ant?nio Marcos745.931.960-00http://lattes.cnpq.br/8623512462352869098.935.526-80http://lattes.cnpq.br/7355186406541609Batista, Fernando Palma2016-06-17T14:51:13Z2015-08-08Batista, Fernando Palma. Estima??o de par?metros por m?xima verossimilhan?a para ambientes generalizados do canal sem fio. 2015. [73]. Disserta????o( Programa 1) - Instituto Nacional de Telecomunicacoes, [Santa Rita do Sapuca?] .http://tede.inatel.br:8080/tede/handle/tede/8In this Master thesis, Maximum Likelihood (ML) estimators for the parameters of the a-k-u and a-n-u distributions are proposed. These general distributions have been used to model the envelope of the received signal in different scenarios, and they have been considered applicable from a practical point of view. The a-k-u and a-n-u distributions have parameters that characterize specifically the behavior of the envelope of the signal that propagates through communication channels modeled by them. That way, in the modeling of the communication systems that operate in a-k-u and a-n-u environments, it is necessary to know the values of the parameters of the distributions. Hence, efficient estimators are used to infer them from samples of the signal?s envelope, aiming to provide an exchange of information with quality and in a reliable way. The ML parameter estimators for the a-k-u and a-n-u distributions are proposed and verified against true values of the parameters by means of simulations. The samples used in the estimation are generated by three different random sequence generators, and a comparison of the performance of the estimators for the samples generated by different methods is done. Besides, this work presents a comparison of the theoretical and estimated probability density functions of the signal?s envelope and an analysis of the variances of the estimators considering a lower bound. The results show that the estimators obtained were capable of predicting, with a good performance, the behavior of the envelope of the signal that propagates in the mobile channel. As an original contribution of this research, the simplified expressions for the log-likelihood function of the a-k-u and a-n-u distributions were found, as well as their derivatives in respect to the parameters of the distributions. Besides, the Smith Spectrum method for random numbers generation was adapted to generate random samples following the distributions regarding this thesis.Nesta disserta??o, estimadores obtidos pelo m?todo de estima??o de M?xima Verossimilhan?a (ML - Maximum Likelihood) para os par?metros das distribui??es a-k-u e a-n-u s?o propostos . Estas distribui??es generalizadas t?m sido usadas para modelar a envolt?ria do sinal recebido em diferentes cen?rios e demonstram-se aplic?veis do ponto de vista pr?tico. As distribui??es a-k-u e a-n-u possuem par?metros que caracterizam especificamente o comportamento da envolt?ria do sinal que se propaga por canais de comunica??o que s?o modelados pelas mesmas. Por este motivo, na modelagem de sistemas de comunica??o que operam em ambientes a-k-u e a-n-u, ? necess?rio conhecer os valores dos par?metros das distribui??es. Portanto, estimadores eficientes s?o usados para inferi-los a partir de amostras colhidas com o objetivo de prover a troca de informa??o de maneira eficiente e com qualidade. Os estimadores ML para as distribui??es a-k-u e a-n-u s?o propostos e verificados em rela??o aos verdadeiros valores dos par?metros por meio de simula??es. As amostras utilizadas na estima??o s?o geradas por tr?s diferentes m?todos de gera??o de n?meros aleat?rios, e uma compara??o do desempenho dos estimadores para as amostras geradas por diferentes m?todos ? feita. Al?m disso, este trabalho apresenta uma compara??o das fun??es densidade de probabilidade das envolt?rias te?rica e estimada e uma an?lise das vari?ncias dos estimadores considerando um limitante inferior. Como resultados, os estimadores obtidos foram capazes de prever com bom desempenho o comportamento da envolt?ria do sinal que se propaga no ambiente r?dio-m?vel. Como contribui??o original deste trabalho foram encontradas as express?es simplificadas para as fun??es de log-verossimilhan?a das distribui??es a-k-u e a-n-u e suas derivadas em rela??o aos par?metros das distribui??es. Al?m disso, o m?todo do Espectro de Smith para gera??o de n?meros aleat?rios foi adaptado para gerar amostras aleat?rias que seguem as distribui??es que s?o foco deste trabalho.Submitted by Tede Dspace (tede@inatel.br) on 2016-06-17T14:51:13Z No. of bitstreams: 2 license_rdf: 20592 bytes, checksum: 0c9b9c579af4cbbcf785ca803bd18d4b (MD5) Disserta??o V.Final Fernando Palma.pdf: 2238570 bytes, checksum: 1864597ea6c5ebf89d8ba83f847458fb (MD5)Made available in DSpace on 2016-06-17T14:51:13Z (GMT). No. of bitstreams: 2 license_rdf: 20592 bytes, checksum: 0c9b9c579af4cbbcf785ca803bd18d4b (MD5) Disserta??o V.Final Fernando Palma.pdf: 2238570 bytes, checksum: 1864597ea6c5ebf89d8ba83f847458fb (MD5) Previous issue date: 2015-08-08application/pdfhttp://tede.inatel.br:8080/jspui/retrieve/179/Disserta%c3%a7%c3%a3o%20V.Final%20Fernando%20Palma.pdf.jpgporInstituto Nacional de Telecomunica??esMestrado em Engenharia de Telecomunica??esINATELBrasilInstituto Nacional de Telecomunica??eshttp://creativecommons.org/licenses/by-nd/4.0/info:eu-repo/semantics/openAccessEstimadores de m?xima verossimilhan?a; distribui??es; a-k-u; a-n-u; k-u; n-u; a-u; gera??o de n?meros aleat?rios; canais com desvanecimento.Engenharia - Telecomunica??esEstima??o de par?metros por m?xima verossimilhan?a para ambientes generalizados do canal sem fioinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisreponame:Biblioteca Digital de Teses e Dissertações da INATELinstname:Instituto Nacional de Telecomunicações (INATEL)instacron:INATELTEXTDisserta??o V.Final Fernando Palma.pdf.txtDisserta??o V.Final Fernando Palma.pdf.txttext/plain121718http://localhost:8080/tede/bitstream/tede/8/6/Disserta%C3%A7%C3%A3o+V.Final+Fernando+Palma.pdf.txtd66f0eb811a20ca964613ca0f180a016MD56THUMBNAILDisserta??o V.Final Fernando Palma.pdf.jpgDisserta??o V.Final Fernando Palma.pdf.jpgimage/jpeg4820http://localhost:8080/tede/bitstream/tede/8/7/Disserta%C3%A7%C3%A3o+V.Final+Fernando+Palma.pdf.jpgff689dac6e963cd91ed4efca555a4b1eMD57LICENSElicense.txtlicense.txttext/plain; charset=utf-8112http://localhost:8080/tede/bitstream/tede/8/1/license.txtc6279291b293f0db82678eaa73a27769MD51CC-LICENSElicense_urllicense_urltext/plain; charset=utf-846http://localhost:8080/tede/bitstream/tede/8/2/license_url587cd8ffae15c8598ed3c46d248a3f38MD52license_textlicense_texttext/html; charset=utf-821785http://localhost:8080/tede/bitstream/tede/8/3/license_text906cd79fa23daa04c86df113b4537342MD53license_rdflicense_rdfapplication/rdf+xml; charset=utf-820592http://localhost:8080/tede/bitstream/tede/8/4/license_rdf0c9b9c579af4cbbcf785ca803bd18d4bMD54ORIGINALDisserta??o V.Final Fernando Palma.pdfDisserta??o V.Final Fernando Palma.pdfapplication/pdf2238570http://localhost:8080/tede/bitstream/tede/8/5/Disserta%C3%A7%C3%A3o+V.Final+Fernando+Palma.pdf1864597ea6c5ebf89d8ba83f847458fbMD55tede/82018-04-16 16:53:09.227oai:localhost:tede/8QXV0b3Jpem8gYSBwdWJsaWNhPz9vIGRhIG1pbmhhIERpc3NlcnRhPz9vIGRlIE1lc3RyYWRvLCBlbSBmb3JtYXRvIFBERiwgY29tIGJsb3F1ZWlvIGRlIGVkaT8/bywgY29sYWdlbSBlIGM/cGlhLg==Biblioteca Digital de Teses e Dissertaçõeshttp://tede.inatel.br:8080/jspui/PUBhttp://tede.inatel.br:8080/oai/requestbiblioteca@inatel.br || biblioteca.atendimento@inatel.bropendoar:2018-04-16T19:53:09Biblioteca Digital de Teses e Dissertações da INATEL - Instituto Nacional de Telecomunicações (INATEL)false
dc.title.por.fl_str_mv Estima??o de par?metros por m?xima verossimilhan?a para ambientes generalizados do canal sem fio
title Estima??o de par?metros por m?xima verossimilhan?a para ambientes generalizados do canal sem fio
spellingShingle Estima??o de par?metros por m?xima verossimilhan?a para ambientes generalizados do canal sem fio
Batista, Fernando Palma
Estimadores de m?xima verossimilhan?a; distribui??es; a-k-u; a-n-u; k-u; n-u; a-u; gera??o de n?meros aleat?rios; canais com desvanecimento.
Engenharia - Telecomunica??es
title_short Estima??o de par?metros por m?xima verossimilhan?a para ambientes generalizados do canal sem fio
title_full Estima??o de par?metros por m?xima verossimilhan?a para ambientes generalizados do canal sem fio
title_fullStr Estima??o de par?metros por m?xima verossimilhan?a para ambientes generalizados do canal sem fio
title_full_unstemmed Estima??o de par?metros por m?xima verossimilhan?a para ambientes generalizados do canal sem fio
title_sort Estima??o de par?metros por m?xima verossimilhan?a para ambientes generalizados do canal sem fio
author Batista, Fernando Palma
author_facet Batista, Fernando Palma
author_role author
dc.contributor.advisor1.fl_str_mv Souza, Rausley Adriano Amaral de
dc.contributor.advisor1ID.fl_str_mv 996.751.536-87
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/6238219709706103
dc.contributor.referee1.fl_str_mv Lopes, Waslon Terllizzie Ara?jo
dc.contributor.referee1Lattes.fl_str_mv http://lattes.cnpq.br/5041048659000127
dc.contributor.referee2.fl_str_mv Alberti, Ant?nio Marcos
dc.contributor.referee2ID.fl_str_mv 745.931.960-00
dc.contributor.referee2Lattes.fl_str_mv http://lattes.cnpq.br/8623512462352869
dc.contributor.authorID.fl_str_mv 098.935.526-80
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/7355186406541609
dc.contributor.author.fl_str_mv Batista, Fernando Palma
contributor_str_mv Souza, Rausley Adriano Amaral de
Lopes, Waslon Terllizzie Ara?jo
Alberti, Ant?nio Marcos
dc.subject.por.fl_str_mv Estimadores de m?xima verossimilhan?a; distribui??es; a-k-u; a-n-u; k-u; n-u; a-u; gera??o de n?meros aleat?rios; canais com desvanecimento.
topic Estimadores de m?xima verossimilhan?a; distribui??es; a-k-u; a-n-u; k-u; n-u; a-u; gera??o de n?meros aleat?rios; canais com desvanecimento.
Engenharia - Telecomunica??es
dc.subject.cnpq.fl_str_mv Engenharia - Telecomunica??es
description In this Master thesis, Maximum Likelihood (ML) estimators for the parameters of the a-k-u and a-n-u distributions are proposed. These general distributions have been used to model the envelope of the received signal in different scenarios, and they have been considered applicable from a practical point of view. The a-k-u and a-n-u distributions have parameters that characterize specifically the behavior of the envelope of the signal that propagates through communication channels modeled by them. That way, in the modeling of the communication systems that operate in a-k-u and a-n-u environments, it is necessary to know the values of the parameters of the distributions. Hence, efficient estimators are used to infer them from samples of the signal?s envelope, aiming to provide an exchange of information with quality and in a reliable way. The ML parameter estimators for the a-k-u and a-n-u distributions are proposed and verified against true values of the parameters by means of simulations. The samples used in the estimation are generated by three different random sequence generators, and a comparison of the performance of the estimators for the samples generated by different methods is done. Besides, this work presents a comparison of the theoretical and estimated probability density functions of the signal?s envelope and an analysis of the variances of the estimators considering a lower bound. The results show that the estimators obtained were capable of predicting, with a good performance, the behavior of the envelope of the signal that propagates in the mobile channel. As an original contribution of this research, the simplified expressions for the log-likelihood function of the a-k-u and a-n-u distributions were found, as well as their derivatives in respect to the parameters of the distributions. Besides, the Smith Spectrum method for random numbers generation was adapted to generate random samples following the distributions regarding this thesis.
publishDate 2015
dc.date.issued.fl_str_mv 2015-08-08
dc.date.accessioned.fl_str_mv 2016-06-17T14:51:13Z
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dc.identifier.citation.fl_str_mv Batista, Fernando Palma. Estima??o de par?metros por m?xima verossimilhan?a para ambientes generalizados do canal sem fio. 2015. [73]. Disserta????o( Programa 1) - Instituto Nacional de Telecomunicacoes, [Santa Rita do Sapuca?] .
dc.identifier.uri.fl_str_mv http://tede.inatel.br:8080/tede/handle/tede/8
identifier_str_mv Batista, Fernando Palma. Estima??o de par?metros por m?xima verossimilhan?a para ambientes generalizados do canal sem fio. 2015. [73]. Disserta????o( Programa 1) - Instituto Nacional de Telecomunicacoes, [Santa Rita do Sapuca?] .
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dc.publisher.department.fl_str_mv Instituto Nacional de Telecomunica??es
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