Blind tensor-based identification of memoryless multiuser volterra channels using SOS and modulation codes

Detalhes bibliográficos
Autor(a) principal: Fernandes, Carlos Alexandre Rolim
Data de Publicação: 2007
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/4016
Resumo: In this paper, a channel identification technique using Second Order Statistics (SOS) is proposed for memoryless multiuser Volterra communication channels. The Parallel Factor (PARAFAC) decomposition of a third order tensor formed from spatio-temporal covariance matrices of the received signals is considered by using the Alternating Least Squares (ALS) algorithm. Modulation codes (constrained codes) are used to ensure some orthogonality constraints of the transmitted signals. That constitutes a new application of modulation codes, aiming to introduce temporal redundancy and ensure some statistical properties. Identifiability conditions for the problem under consideration are addressed and simulation results illustrate the performance of the proposed estimation method.
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spelling Blind tensor-based identification of memoryless multiuser volterra channels using SOS and modulation codesTeleinformáticaTelecomunicaçõesCDMATelefonia celularIn this paper, a channel identification technique using Second Order Statistics (SOS) is proposed for memoryless multiuser Volterra communication channels. The Parallel Factor (PARAFAC) decomposition of a third order tensor formed from spatio-temporal covariance matrices of the received signals is considered by using the Alternating Least Squares (ALS) algorithm. Modulation codes (constrained codes) are used to ensure some orthogonality constraints of the transmitted signals. That constitutes a new application of modulation codes, aiming to introduce temporal redundancy and ensure some statistical properties. Identifiability conditions for the problem under consideration are addressed and simulation results illustrate the performance of the proposed estimation method.European Signal Processing Conference (EUSIPCO)2012-10-31T14:00:39Z2012-10-31T14:00:39Z2007info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectapplication/pdfFERNANDES, C. A. R. ; FAVIER, G. ; MOTA, J. C. M. Blind tensor-based identification of memoryless multiuser volterra channels using SOS and modulation codes. In: EUROPEAN SIGNAL PROCESSING CONFERENCE, 15., 2007, Poznan. Anais... Poznan: EUSIPCO, 2007. p.1511-1515http://www.repositorio.ufc.br/handle/riufc/4016Fernandes, 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/openAccess2020-08-24T14:38:35Zoai:repositorio.ufc.br:riufc/4016Repositório InstitucionalPUBhttp://www.repositorio.ufc.br/ri-oai/requestbu@ufc.br || repositorio@ufc.bropendoar:2024-09-11T18:24:21.272349Repositório Institucional da Universidade Federal do Ceará (UFC) - Universidade Federal do Ceará (UFC)false
dc.title.none.fl_str_mv Blind tensor-based identification of memoryless multiuser volterra channels using SOS and modulation codes
title Blind tensor-based identification of memoryless multiuser volterra channels using SOS and modulation codes
spellingShingle Blind tensor-based identification of memoryless multiuser volterra channels using SOS and modulation codes
Fernandes, Carlos Alexandre Rolim
Teleinformática
Telecomunicações
CDMA
Telefonia celular
title_short Blind tensor-based identification of memoryless multiuser volterra channels using SOS and modulation codes
title_full Blind tensor-based identification of memoryless multiuser volterra channels using SOS and modulation codes
title_fullStr Blind tensor-based identification of memoryless multiuser volterra channels using SOS and modulation codes
title_full_unstemmed Blind tensor-based identification of memoryless multiuser volterra channels using SOS and modulation codes
title_sort Blind tensor-based identification of memoryless multiuser volterra channels using SOS and modulation codes
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
Telecomunicações
CDMA
Telefonia celular
topic Teleinformática
Telecomunicações
CDMA
Telefonia celular
description In this paper, a channel identification technique using Second Order Statistics (SOS) is proposed for memoryless multiuser Volterra communication channels. The Parallel Factor (PARAFAC) decomposition of a third order tensor formed from spatio-temporal covariance matrices of the received signals is considered by using the Alternating Least Squares (ALS) algorithm. Modulation codes (constrained codes) are used to ensure some orthogonality constraints of the transmitted signals. That constitutes a new application of modulation codes, aiming to introduce temporal redundancy and ensure some statistical properties. Identifiability conditions for the problem under consideration are addressed and simulation results illustrate the performance of the proposed estimation method.
publishDate 2007
dc.date.none.fl_str_mv 2007
2012-10-31T14:00:39Z
2012-10-31T14:00:39Z
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. Blind tensor-based identification of memoryless multiuser volterra channels using SOS and modulation codes. In: EUROPEAN SIGNAL PROCESSING CONFERENCE, 15., 2007, Poznan. Anais... Poznan: EUSIPCO, 2007. p.1511-1515
http://www.repositorio.ufc.br/handle/riufc/4016
identifier_str_mv FERNANDES, C. A. R. ; FAVIER, G. ; MOTA, J. C. M. Blind tensor-based identification of memoryless multiuser volterra channels using SOS and modulation codes. In: EUROPEAN SIGNAL PROCESSING CONFERENCE, 15., 2007, Poznan. Anais... Poznan: EUSIPCO, 2007. p.1511-1515
url http://www.repositorio.ufc.br/handle/riufc/4016
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 (EUSIPCO)
publisher.none.fl_str_mv European Signal Processing Conference (EUSIPCO)
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_ 1813028790167666688

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