A novel MLSD receiver architecture for nonlinear channels

Autores
Maggio, Gabriel N.; Rodríguez, Carmen E.
Año de publicación
2014
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
A new architecture for maximum likelihood sequence detec- tion (MLSD) in nonlinear dispersive channels (NLCs) is presented, and its robustness to inaccurate channel knowledge is analyzed. This architecture is developed by considering a novel orthogonal representation of the NLC, which is exploited to develop a front-end capable of obtaining uncorrelated symbol rate samples, representing a sufficient statistic for information decoding. This front-end is a special form of space-time whitened matched filter (ST-WMF), and the MLSD obtained by using this front-end (ST-WMF-MLSD) requires simple branch metrics due to the signal whitening. The ST-WMF also allows for space-time compression of the equivalent channel, which is exploited for further complexity reduction of the ST-WMF-MLSD. Simulation results show the good trade-off in performance and complexity obtained with the ST-WMF- MLSD, even in the presence of inaccurate channel knowledge.
Sociedad Argentina de Informática e Investigación Operativa (SADIO)
Materia
Ciencias Informáticas
MLSD
nonlinear channel
non-Gaussian noise
optical-fiber communications
whitened matched filter
dimensionality reduction
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nd/3.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/41767
Acceder
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repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling A novel MLSD receiver architecture for nonlinear channelsMaggio, Gabriel N.Rodríguez, Carmen E.Ciencias InformáticasMLSDnonlinear channelnon-Gaussian noiseoptical-fiber communicationswhitened matched filterdimensionality reductionA new architecture for maximum likelihood sequence detec- tion (MLSD) in nonlinear dispersive channels (NLCs) is presented, and its robustness to inaccurate channel knowledge is analyzed. This architecture is developed by considering a novel orthogonal representation of the NLC, which is exploited to develop a front-end capable of obtaining uncorrelated symbol rate samples, representing a sufficient statistic for information decoding. This front-end is a special form of space-time whitened matched filter (ST-WMF), and the MLSD obtained by using this front-end (ST-WMF-MLSD) requires simple branch metrics due to the signal whitening. The ST-WMF also allows for space-time compression of the equivalent channel, which is exploited for further complexity reduction of the ST-WMF-MLSD. Simulation results show the good trade-off in performance and complexity obtained with the ST-WMF- MLSD, even in the presence of inaccurate channel knowledge.Sociedad Argentina de Informática e Investigación Operativa (SADIO)2014-09info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf72-83http://sedici.unlp.edu.ar/handle/10915/41767enginfo:eu-repo/semantics/altIdentifier/url/http://43jaiio.sadio.org.ar/proceedings/AST/Paper7_AST_Maggio.pdfinfo:eu-repo/semantics/altIdentifier/issn/1850-2806info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nd/3.0/Creative Commons Attribution-NoDerivs 3.0 Unported (CC BY-ND 3.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:01:09Zoai:sedici.unlp.edu.ar:10915/41767Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:01:09.561SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv A novel MLSD receiver architecture for nonlinear channels
title A novel MLSD receiver architecture for nonlinear channels
spellingShingle A novel MLSD receiver architecture for nonlinear channels
Maggio, Gabriel N.
Ciencias Informáticas
MLSD
nonlinear channel
non-Gaussian noise
optical-fiber communications
whitened matched filter
dimensionality reduction
title_short A novel MLSD receiver architecture for nonlinear channels
title_full A novel MLSD receiver architecture for nonlinear channels
title_fullStr A novel MLSD receiver architecture for nonlinear channels
title_full_unstemmed A novel MLSD receiver architecture for nonlinear channels
title_sort A novel MLSD receiver architecture for nonlinear channels
dc.creator.none.fl_str_mv Maggio, Gabriel N.
Rodríguez, Carmen E.
author Maggio, Gabriel N.
author_facet Maggio, Gabriel N.
Rodríguez, Carmen E.
author_role author
author2 Rodríguez, Carmen E.
author2_role author
dc.subject.none.fl_str_mv Ciencias Informáticas
MLSD
nonlinear channel
non-Gaussian noise
optical-fiber communications
whitened matched filter
dimensionality reduction
topic Ciencias Informáticas
MLSD
nonlinear channel
non-Gaussian noise
optical-fiber communications
whitened matched filter
dimensionality reduction
dc.description.none.fl_txt_mv A new architecture for maximum likelihood sequence detec- tion (MLSD) in nonlinear dispersive channels (NLCs) is presented, and its robustness to inaccurate channel knowledge is analyzed. This architecture is developed by considering a novel orthogonal representation of the NLC, which is exploited to develop a front-end capable of obtaining uncorrelated symbol rate samples, representing a sufficient statistic for information decoding. This front-end is a special form of space-time whitened matched filter (ST-WMF), and the MLSD obtained by using this front-end (ST-WMF-MLSD) requires simple branch metrics due to the signal whitening. The ST-WMF also allows for space-time compression of the equivalent channel, which is exploited for further complexity reduction of the ST-WMF-MLSD. Simulation results show the good trade-off in performance and complexity obtained with the ST-WMF- MLSD, even in the presence of inaccurate channel knowledge.
Sociedad Argentina de Informática e Investigación Operativa (SADIO)
description A new architecture for maximum likelihood sequence detec- tion (MLSD) in nonlinear dispersive channels (NLCs) is presented, and its robustness to inaccurate channel knowledge is analyzed. This architecture is developed by considering a novel orthogonal representation of the NLC, which is exploited to develop a front-end capable of obtaining uncorrelated symbol rate samples, representing a sufficient statistic for information decoding. This front-end is a special form of space-time whitened matched filter (ST-WMF), and the MLSD obtained by using this front-end (ST-WMF-MLSD) requires simple branch metrics due to the signal whitening. The ST-WMF also allows for space-time compression of the equivalent channel, which is exploited for further complexity reduction of the ST-WMF-MLSD. Simulation results show the good trade-off in performance and complexity obtained with the ST-WMF- MLSD, even in the presence of inaccurate channel knowledge.
publishDate 2014
dc.date.none.fl_str_mv 2014-09
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/41767
url http://sedici.unlp.edu.ar/handle/10915/41767
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://43jaiio.sadio.org.ar/proceedings/AST/Paper7_AST_Maggio.pdf
info:eu-repo/semantics/altIdentifier/issn/1850-2806
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nd/3.0/
Creative Commons Attribution-NoDerivs 3.0 Unported (CC BY-ND 3.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nd/3.0/
Creative Commons Attribution-NoDerivs 3.0 Unported (CC BY-ND 3.0)
dc.format.none.fl_str_mv application/pdf
72-83
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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