Blind tensor-based identification of memoryless multiuser volterra channels using SOS and modulation codes
Autor(a) principal: | |
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Data de Publicação: | 2007 |
Outros Autores: | , |
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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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 |