Blind source separation and identification of nonlinear multiuser channels using second order statistics 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/70539
Resumo: In this paper, a Blind Source Separation (BSS) and channel identification method using second order statistics is proposed for nonlinear multiuser communication channels. It is based on the joint diagonalization of a set of covariance matrices. Modulation codes (constrained codes) are used to ensure the orthogonality of nonlinear combinations of the transmitted signals, allowing the application of a joint diagonalization based estimation algorithm. This constitutes a new application of modulation codes, used to introduce temporal redundancy and to ensure some statistical constraints. Identifiability conditions for the problem under consideration are addressed and some simulation results illustrate the performance of the proposed method.
id UFC-7_cd13e881098b1aad1ef1570d30b30ca2
oai_identifier_str oai:repositorio.ufc.br:riufc/70539
network_acronym_str UFC-7
network_name_str Repositório Institucional da Universidade Federal do Ceará (UFC)
repository_id_str
spelling Blind source separation and identification of nonlinear multiuser channels using second order statistics and modulation codesIn this paper, a Blind Source Separation (BSS) and channel identification method using second order statistics is proposed for nonlinear multiuser communication channels. It is based on the joint diagonalization of a set of covariance matrices. Modulation codes (constrained codes) are used to ensure the orthogonality of nonlinear combinations of the transmitted signals, allowing the application of a joint diagonalization based estimation algorithm. This constitutes a new application of modulation codes, used to introduce temporal redundancy and to ensure some statistical constraints. Identifiability conditions for the problem under consideration are addressed and some simulation results illustrate the performance of the proposed method.Workshop on Signal Processing Advances in Wireless Communications2023-02-08T12:20:28Z2023-02-08T12:20:28Z2007info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectapplication/pdfFERNANDES, C. A. R; FAVIER, G.; MOTA, J. C. M. Blind source separation and identification of nonlinear multiuser channels using second order statistics and modulation codes. In: WORKSHOP ON SIGNAL PROCESSING ADVANCES IN WIRELESS COMMUNICATIONS, 8., 2007, Helsinque. Anais... Helsinque: IEEE, 2007. p. 1-5.http://www.repositorio.ufc.br/handle/riufc/70539Fernandes, 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/openAccess2023-02-08T12:20:28Zoai:repositorio.ufc.br:riufc/70539Repositório InstitucionalPUBhttp://www.repositorio.ufc.br/ri-oai/requestbu@ufc.br || repositorio@ufc.bropendoar:2024-09-11T18:43:26.292852Repositório Institucional da Universidade Federal do Ceará (UFC) - Universidade Federal do Ceará (UFC)false
dc.title.none.fl_str_mv Blind source separation and identification of nonlinear multiuser channels using second order statistics and modulation codes
title Blind source separation and identification of nonlinear multiuser channels using second order statistics and modulation codes
spellingShingle Blind source separation and identification of nonlinear multiuser channels using second order statistics and modulation codes
Fernandes, Carlos Alexandre Rolim
title_short Blind source separation and identification of nonlinear multiuser channels using second order statistics and modulation codes
title_full Blind source separation and identification of nonlinear multiuser channels using second order statistics and modulation codes
title_fullStr Blind source separation and identification of nonlinear multiuser channels using second order statistics and modulation codes
title_full_unstemmed Blind source separation and identification of nonlinear multiuser channels using second order statistics and modulation codes
title_sort Blind source separation and identification of nonlinear multiuser channels using second order statistics 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
description In this paper, a Blind Source Separation (BSS) and channel identification method using second order statistics is proposed for nonlinear multiuser communication channels. It is based on the joint diagonalization of a set of covariance matrices. Modulation codes (constrained codes) are used to ensure the orthogonality of nonlinear combinations of the transmitted signals, allowing the application of a joint diagonalization based estimation algorithm. This constitutes a new application of modulation codes, used to introduce temporal redundancy and to ensure some statistical constraints. Identifiability conditions for the problem under consideration are addressed and some simulation results illustrate the performance of the proposed method.
publishDate 2007
dc.date.none.fl_str_mv 2007
2023-02-08T12:20:28Z
2023-02-08T12:20:28Z
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 source separation and identification of nonlinear multiuser channels using second order statistics and modulation codes. In: WORKSHOP ON SIGNAL PROCESSING ADVANCES IN WIRELESS COMMUNICATIONS, 8., 2007, Helsinque. Anais... Helsinque: IEEE, 2007. p. 1-5.
http://www.repositorio.ufc.br/handle/riufc/70539
identifier_str_mv FERNANDES, C. A. R; FAVIER, G.; MOTA, J. C. M. Blind source separation and identification of nonlinear multiuser channels using second order statistics and modulation codes. In: WORKSHOP ON SIGNAL PROCESSING ADVANCES IN WIRELESS COMMUNICATIONS, 8., 2007, Helsinque. Anais... Helsinque: IEEE, 2007. p. 1-5.
url http://www.repositorio.ufc.br/handle/riufc/70539
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 Workshop on Signal Processing Advances in Wireless Communications
publisher.none.fl_str_mv Workshop on Signal Processing Advances in Wireless Communications
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_ 1813028920758370304

Registros relacionados