Tensor-based blind Identification of MIMO volterra channels in a multiuser CDMA environment.

Detalhes bibliográficos
Autor(a) principal: Fernandes, Carlos Alexandre Rolim
Data de Publicação: 2008
Outros Autores: Favier, Gérard, Mota, João César Moura
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da Universidade Federal do Ceará (UFC)
Texto Completo: http://www.repositorio.ufc.br/handle/riufc/4004
Resumo: This paper is concerned with the blind identification of Multiple-Input-Multiple-Output (MIMO) Volterra channels in a multiuser Code Division Multiple Access (CDMA) environment. The channel is modeled using the most generic representation of complex-valued Volterra systems. A Parallel Factor (PARAFAC) decomposition of a third-order tensor composed of channel output covariances is used, the transmitted signals being assumed to be Phase Shift Keying (PSK) modulated. The channel estimation is carried out by two algorithms: the Alternating Least Squares (ALS) algorithm and a non-iterative least squares algorithm that exploits the redundancy provided by the Khatri-Rao product. The performance of the proposed estimation methods is illustrated by means of computer simulations.
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spelling Tensor-based blind Identification of MIMO volterra channels in a multiuser CDMA environment.TeleinformáticaThis paper is concerned with the blind identification of Multiple-Input-Multiple-Output (MIMO) Volterra channels in a multiuser Code Division Multiple Access (CDMA) environment. The channel is modeled using the most generic representation of complex-valued Volterra systems. A Parallel Factor (PARAFAC) decomposition of a third-order tensor composed of channel output covariances is used, the transmitted signals being assumed to be Phase Shift Keying (PSK) modulated. The channel estimation is carried out by two algorithms: the Alternating Least Squares (ALS) algorithm and a non-iterative least squares algorithm that exploits the redundancy provided by the Khatri-Rao product. The performance of the proposed estimation methods is illustrated by means of computer simulations.European Signal Processing Conference2012-10-29T17:47:07Z2012-10-29T17:47:07Z2008info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectapplication/pdfFERNANDES, C. A. R. ; FAVIER, G. ; MOTA, J. C. M. Tensor-based blind Identification of MIMO volterra channels in a multiuser CDMA environment. In: EUROPEAN SIGNAL PROCESSING CONFERENCE, 2008, Lausana. Anais... Lausana: (EUSIPCO), 2008.http://www.repositorio.ufc.br/handle/riufc/4004Fernandes, Carlos Alexandre RolimFavier, GérardMota, João César Mouraengreponame:Repositório Institucional da Universidade Federal do Ceará (UFC)instname:Universidade Federal do Ceará (UFC)instacron:UFCinfo:eu-repo/semantics/openAccess2019-12-02T17:12:02Zoai:repositorio.ufc.br:riufc/4004Repositório InstitucionalPUBhttp://www.repositorio.ufc.br/ri-oai/requestbu@ufc.br || repositorio@ufc.bropendoar:2024-09-11T18:33:38.500921Repositório Institucional da Universidade Federal do Ceará (UFC) - Universidade Federal do Ceará (UFC)false
dc.title.none.fl_str_mv Tensor-based blind Identification of MIMO volterra channels in a multiuser CDMA environment.
title Tensor-based blind Identification of MIMO volterra channels in a multiuser CDMA environment.
spellingShingle Tensor-based blind Identification of MIMO volterra channels in a multiuser CDMA environment.
Fernandes, Carlos Alexandre Rolim
Teleinformática
title_short Tensor-based blind Identification of MIMO volterra channels in a multiuser CDMA environment.
title_full Tensor-based blind Identification of MIMO volterra channels in a multiuser CDMA environment.
title_fullStr Tensor-based blind Identification of MIMO volterra channels in a multiuser CDMA environment.
title_full_unstemmed Tensor-based blind Identification of MIMO volterra channels in a multiuser CDMA environment.
title_sort Tensor-based blind Identification of MIMO volterra channels in a multiuser CDMA environment.
author Fernandes, Carlos Alexandre Rolim
author_facet Fernandes, Carlos Alexandre Rolim
Favier, Gérard
Mota, João César Moura
author_role author
author2 Favier, Gérard
Mota, João César Moura
author2_role author
author
dc.contributor.author.fl_str_mv Fernandes, Carlos Alexandre Rolim
Favier, Gérard
Mota, João César Moura
dc.subject.por.fl_str_mv Teleinformática
topic Teleinformática
description This paper is concerned with the blind identification of Multiple-Input-Multiple-Output (MIMO) Volterra channels in a multiuser Code Division Multiple Access (CDMA) environment. The channel is modeled using the most generic representation of complex-valued Volterra systems. A Parallel Factor (PARAFAC) decomposition of a third-order tensor composed of channel output covariances is used, the transmitted signals being assumed to be Phase Shift Keying (PSK) modulated. The channel estimation is carried out by two algorithms: the Alternating Least Squares (ALS) algorithm and a non-iterative least squares algorithm that exploits the redundancy provided by the Khatri-Rao product. The performance of the proposed estimation methods is illustrated by means of computer simulations.
publishDate 2008
dc.date.none.fl_str_mv 2008
2012-10-29T17:47:07Z
2012-10-29T17:47:07Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv FERNANDES, C. A. R. ; FAVIER, G. ; MOTA, J. C. M. Tensor-based blind Identification of MIMO volterra channels in a multiuser CDMA environment. In: EUROPEAN SIGNAL PROCESSING CONFERENCE, 2008, Lausana. Anais... Lausana: (EUSIPCO), 2008.
http://www.repositorio.ufc.br/handle/riufc/4004
identifier_str_mv FERNANDES, C. A. R. ; FAVIER, G. ; MOTA, J. C. M. Tensor-based blind Identification of MIMO volterra channels in a multiuser CDMA environment. In: EUROPEAN SIGNAL PROCESSING CONFERENCE, 2008, Lausana. Anais... Lausana: (EUSIPCO), 2008.
url http://www.repositorio.ufc.br/handle/riufc/4004
dc.language.iso.fl_str_mv eng
language eng
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 European Signal Processing Conference
publisher.none.fl_str_mv European Signal Processing Conference
dc.source.none.fl_str_mv reponame:Repositório Institucional da Universidade Federal do Ceará (UFC)
instname:Universidade Federal do Ceará (UFC)
instacron:UFC
instname_str Universidade Federal do Ceará (UFC)
instacron_str UFC
institution UFC
reponame_str Repositório Institucional da Universidade Federal do Ceará (UFC)
collection Repositório Institucional da Universidade Federal do Ceará (UFC)
repository.name.fl_str_mv Repositório Institucional da Universidade Federal do Ceará (UFC) - Universidade Federal do Ceará (UFC)
repository.mail.fl_str_mv bu@ufc.br || repositorio@ufc.br
_version_ 1813028855388045312

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