Improved perturbation detection in direct detected ϕ-OTDR systems using a novel matched filtering

Nuisance Alarm Rate (NAR) is critical in ϕ-OTDR perturbation detection systems. We present in this letter a novel matched filtering-based feature extractor which aims to noise reduction so that the detection system gets improved performance. This feature extractor requires a small number of data vec...

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Detalles Bibliográficos
Autores: Adeel, Muhammad, Tejedor Noguerales, Javier, Macías Guarasa, Javier|||0000-0002-3303-3963, Lu, Chao
Tipo de recurso: artículo
Fecha de publicación:2019
País:España
Institución:Universidad de Alcalá (UAH)
Repositorio:e_Buah Biblioteca Digital Universidad de Alcalá
Idioma:inglés
OAI Identifier:oai:ebuah.uah.es:10017/64500
Acceso en línea:http://hdl.handle.net/10017/64500
https://dx.doi.org/10.1109/LPT.2019.2940297
Access Level:acceso abierto
Palabra clave:Distributed acoustic sensing
Phase-OTDR
Perturbation detection
Electrónica
Electronics
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repository_id_str
spelling Improved perturbation detection in direct detected ϕ-OTDR systems using a novel matched filteringAdeel, MuhammadTejedor Noguerales, JavierMacías Guarasa, Javier|||0000-0002-3303-3963Lu, ChaoDistributed acoustic sensingPhase-OTDRPerturbation detectionElectrónicaElectronicsNuisance Alarm Rate (NAR) is critical in ϕ-OTDR perturbation detection systems. We present in this letter a novel matched filtering-based feature extractor which aims to noise reduction so that the detection system gets improved performance. This feature extractor requires a small number of data vectors to be acquired which is combined with a random forest-based machine learning strategy to significantly reduce the NAR. In addition, since the number of data vectors is small, this system can also be useful for time-sensitive detection applications.Ministerio de Economía y CompetitividadIEEE20192019-11-01journal articlehttp://purl.org/coar/resource_type/c_6501NAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10017/64500https://dx.doi.org/10.1109/LPT.2019.2940297reponame:e_Buah Biblioteca Digital Universidad de Alcaláinstname:Universidad de Alcalá (UAH)InglésengMinisterio de Economía y Competitividad http://dx.doi.org/10.13039/501100003329 Not available TIN2016-75982-C2-1-R DETECCION SEMANTICA MULTISENSORIAL DE SITUACIONES ANOMALAS EN ENTORNOS SIN RESTRICCIONESopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:ebuah.uah.es:10017/645002026-06-18T11:13:07Z
dc.title.none.fl_str_mv Improved perturbation detection in direct detected ϕ-OTDR systems using a novel matched filtering
title Improved perturbation detection in direct detected ϕ-OTDR systems using a novel matched filtering
spellingShingle Improved perturbation detection in direct detected ϕ-OTDR systems using a novel matched filtering
Adeel, Muhammad
Distributed acoustic sensing
Phase-OTDR
Perturbation detection
Electrónica
Electronics
title_short Improved perturbation detection in direct detected ϕ-OTDR systems using a novel matched filtering
title_full Improved perturbation detection in direct detected ϕ-OTDR systems using a novel matched filtering
title_fullStr Improved perturbation detection in direct detected ϕ-OTDR systems using a novel matched filtering
title_full_unstemmed Improved perturbation detection in direct detected ϕ-OTDR systems using a novel matched filtering
title_sort Improved perturbation detection in direct detected ϕ-OTDR systems using a novel matched filtering
dc.creator.none.fl_str_mv Adeel, Muhammad
Tejedor Noguerales, Javier
Macías Guarasa, Javier|||0000-0002-3303-3963
Lu, Chao
author Adeel, Muhammad
author_facet Adeel, Muhammad
Tejedor Noguerales, Javier
Macías Guarasa, Javier|||0000-0002-3303-3963
Lu, Chao
author_role author
author2 Tejedor Noguerales, Javier
Macías Guarasa, Javier|||0000-0002-3303-3963
Lu, Chao
author2_role author
author
author
dc.subject.none.fl_str_mv Distributed acoustic sensing
Phase-OTDR
Perturbation detection
Electrónica
Electronics
topic Distributed acoustic sensing
Phase-OTDR
Perturbation detection
Electrónica
Electronics
description Nuisance Alarm Rate (NAR) is critical in ϕ-OTDR perturbation detection systems. We present in this letter a novel matched filtering-based feature extractor which aims to noise reduction so that the detection system gets improved performance. This feature extractor requires a small number of data vectors to be acquired which is combined with a random forest-based machine learning strategy to significantly reduce the NAR. In addition, since the number of data vectors is small, this system can also be useful for time-sensitive detection applications.
publishDate 2019
dc.date.none.fl_str_mv 2019
2019-11-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10017/64500
https://dx.doi.org/10.1109/LPT.2019.2940297
url http://hdl.handle.net/10017/64500
https://dx.doi.org/10.1109/LPT.2019.2940297
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Ministerio de Economía y Competitividad http://dx.doi.org/10.13039/501100003329 Not available TIN2016-75982-C2-1-R DETECCION SEMANTICA MULTISENSORIAL DE SITUACIONES ANOMALAS EN ENTORNOS SIN RESTRICCIONES
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv IEEE
publisher.none.fl_str_mv IEEE
dc.source.none.fl_str_mv reponame:e_Buah Biblioteca Digital Universidad de Alcalá
instname:Universidad de Alcalá (UAH)
instname_str Universidad de Alcalá (UAH)
reponame_str e_Buah Biblioteca Digital Universidad de Alcalá
collection e_Buah Biblioteca Digital Universidad de Alcalá
repository.name.fl_str_mv
repository.mail.fl_str_mv
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