On Supervised multilinear filtering: applications to system identification and antenna beamforming

Detalhes bibliográficos
Autor(a) principal: Lucas Nogueira Ribeiro
Data de Publicação: 2016
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Biblioteca Digital de Teses e Dissertações da UFC
Texto Completo: http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=16726
Resumo: Linear filtering methods are well known and have been successfully applied to many engineering problems. However, they become unpractical when the parameter space is very large. The recently proposed assumption of system separability allows the development of computationally efficient alternatives to classical filtering methods in this scenario. In this work, we show that system separability calls for multilinear system representation and filtering. Based on this parallel, the proposed filtering framework consists of a multilinear extension of the classical Wiener-Hopf (WH) filter that exploits the separability property to solve the supervised multilinear filtering problem. System identification and antenna beamforming computer simulations were conducted to assess the performance of the proposed method. Our numerical results show our approach has smaller computational complexity and that it provides better estimation accuracy than the classical WH filter, which ignores the multilinear system structure.
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spelling info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisOn Supervised multilinear filtering: applications to system identification and antenna beamformingSobre a filtragem multilinear supervisionada: aplicaÃÃes em identificaÃÃo de sistemas e formataÃÃo de feixes de antenas2016-02-24JoÃo CÃsar Moura Mota09152768368http://lattes.cnpq.br/3534665149331526Andrà Lima FÃrrer de Almeida77024494387http://lattes.cnpq.br/1183830514857314Charles Casimiro Cavalcante54039410378http://lattes.cnpq.br/4751699166195344Rodrigo Caiado de Lamare07084010742http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4703223P504074937352http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4472660Y7Lucas Nogueira RibeiroUniversidade Federal do CearÃPrograma de PÃs-GraduaÃÃo em Engenharia de TeleinformÃticaUFCBR Tensores Antenas IdentificaÃÃo de sistemasTelecommunications Tensors AntenasTELECOMUNICACOESLinear filtering methods are well known and have been successfully applied to many engineering problems. However, they become unpractical when the parameter space is very large. The recently proposed assumption of system separability allows the development of computationally efficient alternatives to classical filtering methods in this scenario. In this work, we show that system separability calls for multilinear system representation and filtering. Based on this parallel, the proposed filtering framework consists of a multilinear extension of the classical Wiener-Hopf (WH) filter that exploits the separability property to solve the supervised multilinear filtering problem. System identification and antenna beamforming computer simulations were conducted to assess the performance of the proposed method. Our numerical results show our approach has smaller computational complexity and that it provides better estimation accuracy than the classical WH filter, which ignores the multilinear system structure.MÃtodos de filtragem linear estÃo bem estabelecidos e tÃm sido aplicados em diversos problemas de engenharia. Entretanto, eles tornam-se impraticÃveis quando o espaÃo de parÃmetros à grande. A recente hipÃtese de separabilidade de sistema permite o desenvolvimento de mÃtodos computacionalmente eficientes neste cenÃrio. Neste trabalho, nÃs mostramos que a separabilidade de um sistema leva à sua representaÃÃo multilinear. Em vista disso, o mÃtodo de filtragem proposto consiste em uma extensÃo multilinear do filtro de Wiener-Hopf (WH) clÃssico, que explora a separabilidade para resolver o problema de filtragem multilinear supervisionada. SimulaÃÃes computacionais de identificaÃÃo de sistemas e formataÃÃo de feixes de antenas foram realizadas para a avaliaÃÃo do desempenho do mÃtodo proposto. Nosso resultados numÃricos mostram que nossa abordagem possui menor complexidade computacional e que ela fornece melhor acurÃcia de estimaÃÃo que o filtro de WH clÃssico, que ignora a estrutura multilinear do sistema.CoordenaÃÃo de AperfeÃoamento de Pessoal de NÃvel Superior http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=16726application/pdfinfo:eu-repo/semantics/openAccessporreponame:Biblioteca Digital de Teses e Dissertações da UFCinstname:Universidade Federal do Cearáinstacron:UFC2019-01-21T11:30:04Zmail@mail.com -
dc.title.en.fl_str_mv On Supervised multilinear filtering: applications to system identification and antenna beamforming
dc.title.alternative.pt.fl_str_mv Sobre a filtragem multilinear supervisionada: aplicaÃÃes em identificaÃÃo de sistemas e formataÃÃo de feixes de antenas
title On Supervised multilinear filtering: applications to system identification and antenna beamforming
spellingShingle On Supervised multilinear filtering: applications to system identification and antenna beamforming
Lucas Nogueira Ribeiro
Tensores
Antenas
IdentificaÃÃo de sistemas
Telecommunications
Tensors
Antenas
TELECOMUNICACOES
title_short On Supervised multilinear filtering: applications to system identification and antenna beamforming
title_full On Supervised multilinear filtering: applications to system identification and antenna beamforming
title_fullStr On Supervised multilinear filtering: applications to system identification and antenna beamforming
title_full_unstemmed On Supervised multilinear filtering: applications to system identification and antenna beamforming
title_sort On Supervised multilinear filtering: applications to system identification and antenna beamforming
author Lucas Nogueira Ribeiro
author_facet Lucas Nogueira Ribeiro
author_role author
dc.contributor.advisor1.fl_str_mv JoÃo CÃsar Moura Mota
dc.contributor.advisor1ID.fl_str_mv 09152768368
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/3534665149331526
dc.contributor.referee1.fl_str_mv Andrà Lima FÃrrer de Almeida
dc.contributor.referee1ID.fl_str_mv 77024494387
dc.contributor.referee1Lattes.fl_str_mv http://lattes.cnpq.br/1183830514857314
dc.contributor.referee2.fl_str_mv Charles Casimiro Cavalcante
dc.contributor.referee2ID.fl_str_mv 54039410378
dc.contributor.referee2Lattes.fl_str_mv http://lattes.cnpq.br/4751699166195344
dc.contributor.referee3.fl_str_mv Rodrigo Caiado de Lamare
dc.contributor.referee3ID.fl_str_mv 07084010742
dc.contributor.referee3Lattes.fl_str_mv http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4703223P5
dc.contributor.authorID.fl_str_mv 04074937352
dc.contributor.authorLattes.fl_str_mv http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4472660Y7
dc.contributor.author.fl_str_mv Lucas Nogueira Ribeiro
contributor_str_mv JoÃo CÃsar Moura Mota
Andrà Lima FÃrrer de Almeida
Charles Casimiro Cavalcante
Rodrigo Caiado de Lamare
dc.subject.por.fl_str_mv Tensores
Antenas
IdentificaÃÃo de sistemas
topic Tensores
Antenas
IdentificaÃÃo de sistemas
Telecommunications
Tensors
Antenas
TELECOMUNICACOES
dc.subject.eng.fl_str_mv Telecommunications
Tensors
Antenas
dc.subject.cnpq.fl_str_mv TELECOMUNICACOES
dc.description.sponsorship.fl_txt_mv CoordenaÃÃo de AperfeÃoamento de Pessoal de NÃvel Superior
dc.description.abstract.por.fl_txt_mv Linear filtering methods are well known and have been successfully applied to many engineering problems. However, they become unpractical when the parameter space is very large. The recently proposed assumption of system separability allows the development of computationally efficient alternatives to classical filtering methods in this scenario. In this work, we show that system separability calls for multilinear system representation and filtering. Based on this parallel, the proposed filtering framework consists of a multilinear extension of the classical Wiener-Hopf (WH) filter that exploits the separability property to solve the supervised multilinear filtering problem. System identification and antenna beamforming computer simulations were conducted to assess the performance of the proposed method. Our numerical results show our approach has smaller computational complexity and that it provides better estimation accuracy than the classical WH filter, which ignores the multilinear system structure.
MÃtodos de filtragem linear estÃo bem estabelecidos e tÃm sido aplicados em diversos problemas de engenharia. Entretanto, eles tornam-se impraticÃveis quando o espaÃo de parÃmetros à grande. A recente hipÃtese de separabilidade de sistema permite o desenvolvimento de mÃtodos computacionalmente eficientes neste cenÃrio. Neste trabalho, nÃs mostramos que a separabilidade de um sistema leva à sua representaÃÃo multilinear. Em vista disso, o mÃtodo de filtragem proposto consiste em uma extensÃo multilinear do filtro de Wiener-Hopf (WH) clÃssico, que explora a separabilidade para resolver o problema de filtragem multilinear supervisionada. SimulaÃÃes computacionais de identificaÃÃo de sistemas e formataÃÃo de feixes de antenas foram realizadas para a avaliaÃÃo do desempenho do mÃtodo proposto. Nosso resultados numÃricos mostram que nossa abordagem possui menor complexidade computacional e que ela fornece melhor acurÃcia de estimaÃÃo que o filtro de WH clÃssico, que ignora a estrutura multilinear do sistema.
description Linear filtering methods are well known and have been successfully applied to many engineering problems. However, they become unpractical when the parameter space is very large. The recently proposed assumption of system separability allows the development of computationally efficient alternatives to classical filtering methods in this scenario. In this work, we show that system separability calls for multilinear system representation and filtering. Based on this parallel, the proposed filtering framework consists of a multilinear extension of the classical Wiener-Hopf (WH) filter that exploits the separability property to solve the supervised multilinear filtering problem. System identification and antenna beamforming computer simulations were conducted to assess the performance of the proposed method. Our numerical results show our approach has smaller computational complexity and that it provides better estimation accuracy than the classical WH filter, which ignores the multilinear system structure.
publishDate 2016
dc.date.issued.fl_str_mv 2016-02-24
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
status_str publishedVersion
format masterThesis
dc.identifier.uri.fl_str_mv http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=16726
url http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=16726
dc.language.iso.fl_str_mv por
language por
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal do CearÃ
dc.publisher.program.fl_str_mv Programa de PÃs-GraduaÃÃo em Engenharia de TeleinformÃtica
dc.publisher.initials.fl_str_mv UFC
dc.publisher.country.fl_str_mv BR
publisher.none.fl_str_mv Universidade Federal do CearÃ
dc.source.none.fl_str_mv reponame:Biblioteca Digital de Teses e Dissertações da UFC
instname:Universidade Federal do Ceará
instacron:UFC
reponame_str Biblioteca Digital de Teses e Dissertações da UFC
collection Biblioteca Digital de Teses e Dissertações da UFC
instname_str Universidade Federal do Ceará
instacron_str UFC
institution UFC
repository.name.fl_str_mv -
repository.mail.fl_str_mv mail@mail.com
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