Efficient non homogeneous CFAR processing

In this work a new radar detection method is proposed, the Cell Average Neural Network Constant false Alarm Rate (CANN CFAR), which can be used with Weibull distributed non homogeneous radar returns. This processor combines Maximum Likelihood estimation method with Neural Networks for the clutter pa...

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Authors: Gálvez, Nélida Beatriz, Cousseau, Juan Edmundo, Pasciaroni, Jose Luis, Agamennoni, Osvaldo Enrique
Format: article
Status:Published version
Publication Date:2011
Country:Argentina
Institution:Consejo Nacional de Investigaciones Científicas y Técnicas
Repository:CONICET Digital (CONICET)
Language:English
OAI Identifier:oai:ri.conicet.gov.ar:11336/103983
Online Access:http://hdl.handle.net/11336/103983
Access Level:Open access
Keyword:NEURAL NETWORKS
CFAR
CLUTTER
DETECTION
https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
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spelling Efficient non homogeneous CFAR processingGálvez, Nélida BeatrizCousseau, Juan EdmundoPasciaroni, Jose LuisAgamennoni, Osvaldo EnriqueNEURAL NETWORKSCFARCLUTTERDETECTIONhttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2In this work a new radar detection method is proposed, the Cell Average Neural Network Constant false Alarm Rate (CANN CFAR), which can be used with Weibull distributed non homogeneous radar returns. This processor combines Maximum Likelihood estimation method with Neural Networks for the clutter parameter estimation, resolving homogeneity and determining clutter bank transition points and size. To characterize its performance, probability of detection is evaluated using Monte Carlo simulations and compared to other efficient CFAR schemes. As a result, CANN CFAR detection has better performance than conventional CFAR processors, especially when detecting targets located near clutter heterogeneities. An additional advantage of the proposed technique is its efficiency when determining clutter transition points, bank size and threshold setting. This efficiency translates in lower computation time than other CFAR algorithms, mostly considering real time processing.Fil: Gálvez, Nélida Beatriz. Ministerio de Defensa. Armada Argentina. Dirección Gral. de Investigación y Desarrollo de la Ara. Servicio Analisis Operativo Armas y Guerra Electronica; ArgentinaFil: Cousseau, Juan Edmundo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones en Ingeniería Eléctrica "Alfredo Desages". Universidad Nacional del Sur. Departamento de Ingeniería Eléctrica y de Computadoras. Instituto de Investigaciones en Ingeniería Eléctrica "Alfredo Desages"; ArgentinaFil: Pasciaroni, Jose Luis. Ministerio de Defensa. Armada Argentina. Dirección Gral. de Investigación y Desarrollo de la Ara. Servicio Analisis Operativo Armas y Guerra Electronica; ArgentinaFil: Agamennoni, Osvaldo Enrique. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones en Ingeniería Eléctrica "Alfredo Desages". Universidad Nacional del Sur. Departamento de Ingeniería Eléctrica y de Computadoras. Instituto de Investigaciones en Ingeniería Eléctrica "Alfredo Desages"; ArgentinaPlanta Piloto de Ingeniería Química2011-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/103983Gálvez, Nélida Beatriz; Cousseau, Juan Edmundo; Pasciaroni, Jose Luis; Agamennoni, Osvaldo Enrique; Efficient non homogeneous CFAR processing; Planta Piloto de Ingeniería Química; Latin American Applied Research; 41; 1; 1-2011; 1-90327-07931851-8796CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.laar.plapiqui.edu.ar/OJS/public/site/volumens/indexes/i41_01.htminfo:eu-repo/semantics/altIdentifier/url/http://www.laar.plapiqui.edu.ar/OJS/public/site/volumens/indexes/artic_v4101/Vol41_01_01.pdfinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2024-05-08T14:00:58Zoai:ri.conicet.gov.ar:11336/103983instacron: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:34982024-05-08 14:00:58.758CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Efficient non homogeneous CFAR processing
title Efficient non homogeneous CFAR processing
spellingShingle Efficient non homogeneous CFAR processing
Gálvez, Nélida Beatriz
NEURAL NETWORKS
CFAR
CLUTTER
DETECTION
https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
title_short Efficient non homogeneous CFAR processing
title_full Efficient non homogeneous CFAR processing
title_fullStr Efficient non homogeneous CFAR processing
title_full_unstemmed Efficient non homogeneous CFAR processing
title_sort Efficient non homogeneous CFAR processing
dc.creator.none.fl_str_mv Gálvez, Nélida Beatriz
Cousseau, Juan Edmundo
Pasciaroni, Jose Luis
Agamennoni, Osvaldo Enrique
author Gálvez, Nélida Beatriz
author_facet Gálvez, Nélida Beatriz
Cousseau, Juan Edmundo
Pasciaroni, Jose Luis
Agamennoni, Osvaldo Enrique
author_role author
author2 Cousseau, Juan Edmundo
Pasciaroni, Jose Luis
Agamennoni, Osvaldo Enrique
author2_role author
author
author
dc.subject.none.fl_str_mv NEURAL NETWORKS
CFAR
CLUTTER
DETECTION
https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
topic NEURAL NETWORKS
CFAR
CLUTTER
DETECTION
https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
description In this work a new radar detection method is proposed, the Cell Average Neural Network Constant false Alarm Rate (CANN CFAR), which can be used with Weibull distributed non homogeneous radar returns. This processor combines Maximum Likelihood estimation method with Neural Networks for the clutter parameter estimation, resolving homogeneity and determining clutter bank transition points and size. To characterize its performance, probability of detection is evaluated using Monte Carlo simulations and compared to other efficient CFAR schemes. As a result, CANN CFAR detection has better performance than conventional CFAR processors, especially when detecting targets located near clutter heterogeneities. An additional advantage of the proposed technique is its efficiency when determining clutter transition points, bank size and threshold setting. This efficiency translates in lower computation time than other CFAR algorithms, mostly considering real time processing.
publishDate 2011
dc.date.none.fl_str_mv 2011-01
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/11336/103983
Gálvez, Nélida Beatriz; Cousseau, Juan Edmundo; Pasciaroni, Jose Luis; Agamennoni, Osvaldo Enrique; Efficient non homogeneous CFAR processing; Planta Piloto de Ingeniería Química; Latin American Applied Research; 41; 1; 1-2011; 1-9
0327-0793
1851-8796
CONICET Digital
CONICET
url http://hdl.handle.net/11336/103983
identifier_str_mv Gálvez, Nélida Beatriz; Cousseau, Juan Edmundo; Pasciaroni, Jose Luis; Agamennoni, Osvaldo Enrique; Efficient non homogeneous CFAR processing; Planta Piloto de Ingeniería Química; Latin American Applied Research; 41; 1; 1-2011; 1-9
0327-0793
1851-8796
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.laar.plapiqui.edu.ar/OJS/public/site/volumens/indexes/i41_01.htm
info:eu-repo/semantics/altIdentifier/url/http://www.laar.plapiqui.edu.ar/OJS/public/site/volumens/indexes/artic_v4101/Vol41_01_01.pdf
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
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Planta Piloto de Ingeniería Química
publisher.none.fl_str_mv Planta Piloto de Ingeniería Química
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
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
_version_ 1799195707705393152
score 15,198674

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