On channel estimation for power line communication systems in the presence of impulsive noise

In this paper, two maximum-likelihood (ML) channel estimators that are robust and perform consistent channel estimation in the presence of impulsive noise (IN) for power line communication (PLC) systems are proposed and analyzed. The two estimators differ on the way they exploit the estimated IN to...

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Detalles Bibliográficos
Autores: Shrestha D., Mestre X., Payaró M.
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2018
País:España
Institución:Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
Repositorio:r-CTTC. Repositorio Institucional Producción Científica del Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
OAI Identifier:oai:cttc.fundanetsuite.com:p3231
Acceso en línea:https://cttc.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=3231
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85054751018&doi=10.1016%2fj.compeleceng.2018.10.006&partnerID=40&md5=1edce5854653aabec9be1fff3009c01b
Access Level:acceso abierto
Palabra clave:Carrier transmission on power lines
Impulse noise
Impulse response
Maximum likelihood estimation
Channel impulse response
Computational effort
Deterministic approach
Deterministic quantity
Efficient channels
Estimation strategies
Power line communication system
Power line communications
Channel estimation
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spelling On channel estimation for power line communication systems in the presence of impulsive noiseShrestha D.Mestre X.Payaró M.Carrier transmission on power linesImpulse noiseImpulse responseMaximum likelihood estimationChannel impulse responseComputational effortDeterministic approachDeterministic quantityEfficient channelsEstimation strategiesPower line communication systemPower line communicationsChannel estimationIn this paper, two maximum-likelihood (ML) channel estimators that are robust and perform consistent channel estimation in the presence of impulsive noise (IN) for power line communication (PLC) systems are proposed and analyzed. The two estimators differ on the way they exploit the estimated IN to determine the coefficients of the channel impulse response. In the first approach, the channel estimator treats the estimated IN as a deterministic quantity; in the second as a random quantity. The performances of both estimators are analyzed and numerically evaluated. As it will be shown, between the two proposed estimators, the one that is based on the random approach outperforms the deterministic one in all typical PLC scenarios. However, the deterministic approach-based estimator can perform consistent channel estimation regardless of the IN behavior with less computational effort and becomes an efficient channel estimation strategy in situations where high computational complexity cannot be afforded. © 2018 Elsevier LtdElsevier Ltd.2018info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://cttc.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=3231https://www.scopus.com/inward/record.uri?eid=2-s2.0-85054751018&doi=10.1016%2fj.compeleceng.2018.10.006&partnerID=40&md5=1edce5854653aabec9be1fff3009c01bCOMPUTERS & ELECTRICAL ENGINEERINGISSN: 00457906ISSNe: 18790755reponame:r-CTTC. Repositorio Institucional Producción Científica del Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)instname:Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)Inglésinfo:eu-repo/semantics/openAccessoai:cttc.fundanetsuite.com:p32312026-06-17T11:44:47Z
dc.title.none.fl_str_mv On channel estimation for power line communication systems in the presence of impulsive noise
title On channel estimation for power line communication systems in the presence of impulsive noise
spellingShingle On channel estimation for power line communication systems in the presence of impulsive noise
Shrestha D.
Carrier transmission on power lines
Impulse noise
Impulse response
Maximum likelihood estimation
Channel impulse response
Computational effort
Deterministic approach
Deterministic quantity
Efficient channels
Estimation strategies
Power line communication system
Power line communications
Channel estimation
title_short On channel estimation for power line communication systems in the presence of impulsive noise
title_full On channel estimation for power line communication systems in the presence of impulsive noise
title_fullStr On channel estimation for power line communication systems in the presence of impulsive noise
title_full_unstemmed On channel estimation for power line communication systems in the presence of impulsive noise
title_sort On channel estimation for power line communication systems in the presence of impulsive noise
dc.creator.none.fl_str_mv Shrestha D.
Mestre X.
Payaró M.
author Shrestha D.
author_facet Shrestha D.
Mestre X.
Payaró M.
author_role author
author2 Mestre X.
Payaró M.
author2_role author
author
dc.subject.none.fl_str_mv Carrier transmission on power lines
Impulse noise
Impulse response
Maximum likelihood estimation
Channel impulse response
Computational effort
Deterministic approach
Deterministic quantity
Efficient channels
Estimation strategies
Power line communication system
Power line communications
Channel estimation
topic Carrier transmission on power lines
Impulse noise
Impulse response
Maximum likelihood estimation
Channel impulse response
Computational effort
Deterministic approach
Deterministic quantity
Efficient channels
Estimation strategies
Power line communication system
Power line communications
Channel estimation
description In this paper, two maximum-likelihood (ML) channel estimators that are robust and perform consistent channel estimation in the presence of impulsive noise (IN) for power line communication (PLC) systems are proposed and analyzed. The two estimators differ on the way they exploit the estimated IN to determine the coefficients of the channel impulse response. In the first approach, the channel estimator treats the estimated IN as a deterministic quantity; in the second as a random quantity. The performances of both estimators are analyzed and numerically evaluated. As it will be shown, between the two proposed estimators, the one that is based on the random approach outperforms the deterministic one in all typical PLC scenarios. However, the deterministic approach-based estimator can perform consistent channel estimation regardless of the IN behavior with less computational effort and becomes an efficient channel estimation strategy in situations where high computational complexity cannot be afforded. © 2018 Elsevier Ltd
publishDate 2018
dc.date.none.fl_str_mv 2018
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://cttc.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=3231
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85054751018&doi=10.1016%2fj.compeleceng.2018.10.006&partnerID=40&md5=1edce5854653aabec9be1fff3009c01b
url https://cttc.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=3231
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85054751018&doi=10.1016%2fj.compeleceng.2018.10.006&partnerID=40&md5=1edce5854653aabec9be1fff3009c01b
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Elsevier Ltd.
publisher.none.fl_str_mv Elsevier Ltd.
dc.source.none.fl_str_mv COMPUTERS & ELECTRICAL ENGINEERING
ISSN: 00457906
ISSNe: 18790755
reponame:r-CTTC. Repositorio Institucional Producción Científica del Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
instname:Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
instname_str Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
reponame_str r-CTTC. Repositorio Institucional Producción Científica del Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
collection r-CTTC. Repositorio Institucional Producción Científica del Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,812429

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