Radar detection algorithm for GARCH clutter model

Autores
Pascual, Juan Pablo; Von Ellenrieder, Nicolás; Hurtado, Martin; Muravchik, Carlos H.
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
We propose a GARCH model to represent the clutter in radar applications. We fit this model to real sea clutter data and we show that it represents adequately the statistics of the data. Then, we develop a detection test based on this model. Using synthetic and real radar data, we evaluate its performance and we show that the proposed detector offers higher probability of detection for a specified value of probability of false alarm than tests based on Gaussian and Weibull models, especially for low signal to clutter ratios.
Fil: Pascual, Juan Pablo. Universidad Nacional de la Plata. Facultad de Ingenieria. Departamento de Electrotecnia. Laboratorio de Electronica Ind., Control E Instrumentac.; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Von Ellenrieder, Nicolás. Universidad Nacional de la Plata. Facultad de Ingenieria. Departamento de Electrotecnia. Laboratorio de Electronica Ind., Control E Instrumentac.; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Hurtado, Martin. Universidad Nacional de la Plata. Facultad de Ingenieria. Departamento de Electrotecnia. Laboratorio de Electronica Ind., Control E Instrumentac.; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Muravchik, Carlos H.. Universidad Nacional de la Plata. Facultad de Ingenieria. Departamento de Electrotecnia. Laboratorio de Electronica Ind., Control E Instrumentac.; Argentina. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas; Argentina
Materia
Radar
Detection
Non-Gaussian Clutter
Garch Processes
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/13788
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Radar detection algorithm for GARCH clutter modelPascual, Juan PabloVon Ellenrieder, NicolásHurtado, MartinMuravchik, Carlos H.RadarDetectionNon-Gaussian ClutterGarch Processeshttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2We propose a GARCH model to represent the clutter in radar applications. We fit this model to real sea clutter data and we show that it represents adequately the statistics of the data. Then, we develop a detection test based on this model. Using synthetic and real radar data, we evaluate its performance and we show that the proposed detector offers higher probability of detection for a specified value of probability of false alarm than tests based on Gaussian and Weibull models, especially for low signal to clutter ratios.Fil: Pascual, Juan Pablo. Universidad Nacional de la Plata. Facultad de Ingenieria. Departamento de Electrotecnia. Laboratorio de Electronica Ind., Control E Instrumentac.; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Von Ellenrieder, Nicolás. Universidad Nacional de la Plata. Facultad de Ingenieria. Departamento de Electrotecnia. Laboratorio de Electronica Ind., Control E Instrumentac.; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Hurtado, Martin. Universidad Nacional de la Plata. Facultad de Ingenieria. Departamento de Electrotecnia. Laboratorio de Electronica Ind., Control E Instrumentac.; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Muravchik, Carlos H.. Universidad Nacional de la Plata. Facultad de Ingenieria. Departamento de Electrotecnia. Laboratorio de Electronica Ind., Control E Instrumentac.; Argentina. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas; ArgentinaElsevier Inc2013-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/13788Pascual, Juan Pablo; Von Ellenrieder, Nicolás; Hurtado, Martin; Muravchik, Carlos H.; Radar detection algorithm for GARCH clutter model; Elsevier Inc; Digital Signal Processing; 23; 4; 7-2013; 1255-12641051-2004enginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.dsp.2013.02.017info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S1051200413000407?via%3Dihubinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:49:05Zoai:ri.conicet.gov.ar:11336/13788instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 09:49:05.658CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Radar detection algorithm for GARCH clutter model
title Radar detection algorithm for GARCH clutter model
spellingShingle Radar detection algorithm for GARCH clutter model
Pascual, Juan Pablo
Radar
Detection
Non-Gaussian Clutter
Garch Processes
title_short Radar detection algorithm for GARCH clutter model
title_full Radar detection algorithm for GARCH clutter model
title_fullStr Radar detection algorithm for GARCH clutter model
title_full_unstemmed Radar detection algorithm for GARCH clutter model
title_sort Radar detection algorithm for GARCH clutter model
dc.creator.none.fl_str_mv Pascual, Juan Pablo
Von Ellenrieder, Nicolás
Hurtado, Martin
Muravchik, Carlos H.
author Pascual, Juan Pablo
author_facet Pascual, Juan Pablo
Von Ellenrieder, Nicolás
Hurtado, Martin
Muravchik, Carlos H.
author_role author
author2 Von Ellenrieder, Nicolás
Hurtado, Martin
Muravchik, Carlos H.
author2_role author
author
author
dc.subject.none.fl_str_mv Radar
Detection
Non-Gaussian Clutter
Garch Processes
topic Radar
Detection
Non-Gaussian Clutter
Garch Processes
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv We propose a GARCH model to represent the clutter in radar applications. We fit this model to real sea clutter data and we show that it represents adequately the statistics of the data. Then, we develop a detection test based on this model. Using synthetic and real radar data, we evaluate its performance and we show that the proposed detector offers higher probability of detection for a specified value of probability of false alarm than tests based on Gaussian and Weibull models, especially for low signal to clutter ratios.
Fil: Pascual, Juan Pablo. Universidad Nacional de la Plata. Facultad de Ingenieria. Departamento de Electrotecnia. Laboratorio de Electronica Ind., Control E Instrumentac.; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Von Ellenrieder, Nicolás. Universidad Nacional de la Plata. Facultad de Ingenieria. Departamento de Electrotecnia. Laboratorio de Electronica Ind., Control E Instrumentac.; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Hurtado, Martin. Universidad Nacional de la Plata. Facultad de Ingenieria. Departamento de Electrotecnia. Laboratorio de Electronica Ind., Control E Instrumentac.; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Muravchik, Carlos H.. Universidad Nacional de la Plata. Facultad de Ingenieria. Departamento de Electrotecnia. Laboratorio de Electronica Ind., Control E Instrumentac.; Argentina. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas; Argentina
description We propose a GARCH model to represent the clutter in radar applications. We fit this model to real sea clutter data and we show that it represents adequately the statistics of the data. Then, we develop a detection test based on this model. Using synthetic and real radar data, we evaluate its performance and we show that the proposed detector offers higher probability of detection for a specified value of probability of false alarm than tests based on Gaussian and Weibull models, especially for low signal to clutter ratios.
publishDate 2013
dc.date.none.fl_str_mv 2013-07
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/13788
Pascual, Juan Pablo; Von Ellenrieder, Nicolás; Hurtado, Martin; Muravchik, Carlos H.; Radar detection algorithm for GARCH clutter model; Elsevier Inc; Digital Signal Processing; 23; 4; 7-2013; 1255-1264
1051-2004
url http://hdl.handle.net/11336/13788
identifier_str_mv Pascual, Juan Pablo; Von Ellenrieder, Nicolás; Hurtado, Martin; Muravchik, Carlos H.; Radar detection algorithm for GARCH clutter model; Elsevier Inc; Digital Signal Processing; 23; 4; 7-2013; 1255-1264
1051-2004
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.dsp.2013.02.017
info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S1051200413000407?via%3Dihub
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier Inc
publisher.none.fl_str_mv Elsevier Inc
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.13397

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