A Fast Implementation of the Algorithm GMAP-TD for Clutter Interference Mitigation in Weather Radar

Autores
Amoia, Matías Ezequiel; Hurtado, Martín; Fernández Michelli, Juan Ignacio; Renolfi, F.
Año de publicación
2025
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Ground clutter represents a significant challenge in Doppler weather radar systems, often masking weather signals and biasing the estimation of meteorological parameters. The Gaussian Model Adaptive Processing in Time Domain (GMAP-TD) algorithm offers a robust solution for clutter mitigation but suffers from high computational burden. In this paper, we introduce a novel imple- mentation of GMAP-TD, termed GMAP-TD-FC (Fast Computation GMAP-TD), which retains the original algorithm’s effectiveness while significantly reducing computation time. Our approach employs the diagonalization of the clutter autocorrelation matrix, enabling the precomputation of filter components and reducing the computational complexity. Simulation results show that the accuracy of the proposed algorithm remains as good as that of GMAP-TD while improving the processing speed, making it well-suited for real-time radar operations.
Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales
Materia
Ingeniería Electrónica
Radar
Meteorología
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-nd/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/187452
Acceder
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repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling A Fast Implementation of the Algorithm GMAP-TD for Clutter Interference Mitigation in Weather RadarAmoia, Matías EzequielHurtado, MartínFernández Michelli, Juan IgnacioRenolfi, F.Ingeniería ElectrónicaRadarMeteorologíaGround clutter represents a significant challenge in Doppler weather radar systems, often masking weather signals and biasing the estimation of meteorological parameters. The Gaussian Model Adaptive Processing in Time Domain (GMAP-TD) algorithm offers a robust solution for clutter mitigation but suffers from high computational burden. In this paper, we introduce a novel imple- mentation of GMAP-TD, termed GMAP-TD-FC (Fast Computation GMAP-TD), which retains the original algorithm’s effectiveness while significantly reducing computation time. Our approach employs the diagonalization of the clutter autocorrelation matrix, enabling the precomputation of filter components and reducing the computational complexity. Simulation results show that the accuracy of the proposed algorithm remains as good as that of GMAP-TD while improving the processing speed, making it well-suited for real-time radar operations.Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales2025-05-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/187452enginfo:eu-repo/semantics/altIdentifier/url/https://pos.sissa.it/471/052info:eu-repo/semantics/altIdentifier/issn/1824-8039info:eu-repo/semantics/altIdentifier/doi/10.22323/1.471.0052info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/4.0/Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-11-26T10:29:23Zoai:sedici.unlp.edu.ar:10915/187452Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-11-26 10:29:23.99SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv A Fast Implementation of the Algorithm GMAP-TD for Clutter Interference Mitigation in Weather Radar
title A Fast Implementation of the Algorithm GMAP-TD for Clutter Interference Mitigation in Weather Radar
spellingShingle A Fast Implementation of the Algorithm GMAP-TD for Clutter Interference Mitigation in Weather Radar
Amoia, Matías Ezequiel
Ingeniería Electrónica
Radar
Meteorología
title_short A Fast Implementation of the Algorithm GMAP-TD for Clutter Interference Mitigation in Weather Radar
title_full A Fast Implementation of the Algorithm GMAP-TD for Clutter Interference Mitigation in Weather Radar
title_fullStr A Fast Implementation of the Algorithm GMAP-TD for Clutter Interference Mitigation in Weather Radar
title_full_unstemmed A Fast Implementation of the Algorithm GMAP-TD for Clutter Interference Mitigation in Weather Radar
title_sort A Fast Implementation of the Algorithm GMAP-TD for Clutter Interference Mitigation in Weather Radar
dc.creator.none.fl_str_mv Amoia, Matías Ezequiel
Hurtado, Martín
Fernández Michelli, Juan Ignacio
Renolfi, F.
author Amoia, Matías Ezequiel
author_facet Amoia, Matías Ezequiel
Hurtado, Martín
Fernández Michelli, Juan Ignacio
Renolfi, F.
author_role author
author2 Hurtado, Martín
Fernández Michelli, Juan Ignacio
Renolfi, F.
author2_role author
author
author
dc.subject.none.fl_str_mv Ingeniería Electrónica
Radar
Meteorología
topic Ingeniería Electrónica
Radar
Meteorología
dc.description.none.fl_txt_mv Ground clutter represents a significant challenge in Doppler weather radar systems, often masking weather signals and biasing the estimation of meteorological parameters. The Gaussian Model Adaptive Processing in Time Domain (GMAP-TD) algorithm offers a robust solution for clutter mitigation but suffers from high computational burden. In this paper, we introduce a novel imple- mentation of GMAP-TD, termed GMAP-TD-FC (Fast Computation GMAP-TD), which retains the original algorithm’s effectiveness while significantly reducing computation time. Our approach employs the diagonalization of the clutter autocorrelation matrix, enabling the precomputation of filter components and reducing the computational complexity. Simulation results show that the accuracy of the proposed algorithm remains as good as that of GMAP-TD while improving the processing speed, making it well-suited for real-time radar operations.
Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales
description Ground clutter represents a significant challenge in Doppler weather radar systems, often masking weather signals and biasing the estimation of meteorological parameters. The Gaussian Model Adaptive Processing in Time Domain (GMAP-TD) algorithm offers a robust solution for clutter mitigation but suffers from high computational burden. In this paper, we introduce a novel imple- mentation of GMAP-TD, termed GMAP-TD-FC (Fast Computation GMAP-TD), which retains the original algorithm’s effectiveness while significantly reducing computation time. Our approach employs the diagonalization of the clutter autocorrelation matrix, enabling the precomputation of filter components and reducing the computational complexity. Simulation results show that the accuracy of the proposed algorithm remains as good as that of GMAP-TD while improving the processing speed, making it well-suited for real-time radar operations.
publishDate 2025
dc.date.none.fl_str_mv 2025-05-08
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Articulo
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://sedici.unlp.edu.ar/handle/10915/187452
url http://sedici.unlp.edu.ar/handle/10915/187452
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://pos.sissa.it/471/052
info:eu-repo/semantics/altIdentifier/issn/1824-8039
info:eu-repo/semantics/altIdentifier/doi/10.22323/1.471.0052
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-nd/4.0/
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
dc.format.none.fl_str_mv application/pdf
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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