Digital signal processing and numerical analysis for radar in geophysical applications

Autores
Molina, María G.; Cabrera, Miguel A.; Ezquer, Rodolfo Gerardo; Fernández, P. M.; Zuccheretti, E.
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Numerical solutions for signal processing are described in this work as acontribution to study of echo detection methods for ionospheric sounder design. The ionospheric sounder is a high frequency radar for geophysical applications. The main detection approach has been done by implementing the spread-spectrum techniques using coding methods to improve the radar?s range resolution by transmitting low power. Digital signal processing has been performed and the numerical methods were checked. An algorithm was proposed and its computational complexity was calculated. The proposed detection process combines two channels correlations with the local code and calculates threshold (Vt) by statistical evaluation of the background noise to design adetection algorithm. The noisy signals treatment was performed depending on the threshold and echo amplitude. In each case, the detection was improved by using coherent integration. Synthetic signals, close loop and actual echoes, obtained from the Advanced Ionospheric Sounder (AIS-INGV) at Rome Ionospheric Observatory, were used to verify the process. The results showed that, even in highly noisy environments, the echo detection is possible. Given that these are preliminary results, further studies considering data sets corresponding to other geophysical conditions are needed.
Fil: Molina, María G.. Universidad Nacional de Tucumán. Facultad de Ciencias Exactas y Tecnologia; Argentina. Universidad Nacional de Tucumán. Facultad de Ciencias Exactas y Tecnología. Departamento de Electricidad, Electrónica y Computación. Laboratorio de Telecomunicaciones; Argentina. Universidad Nacional de Tucumán. Facultad de Ciencias Exactas y Tecnología. Departamento de Física. Laboratorio de Ionosfera; Argentina
Fil: Cabrera, Miguel A.. Universidad Nacional de Tucumán. Facultad de Ciencias Exactas y Tecnología. Departamento de Física. Laboratorio de Ionosfera; Argentina. Universidad Nacional de Tucumán. Facultad de Ciencias Exactas y Tecnología. Departamento de Electricidad, Electrónica y Computación. Laboratorio de Telecomunicaciones; Argentina. Universidad Tecnologica Nacional. Facultad Regional Tucuman; Argentina
Fil: Ezquer, Rodolfo Gerardo. Universidad Nacional de Tucumán. Facultad de Ciencias Exactas y Tecnología. Departamento de Física. Laboratorio de Ionosfera; Argentina. Universidad Tecnologica Nacional. Facultad Regional Tucuman; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tucumán; Argentina
Fil: Fernández, P. M.. Universidad Nacional de Tucumán. Facultad de Ciencias Exactas y Tecnologia; Argentina
Fil: Zuccheretti, E.. Istituto Nazionale di Geofisica e Vulcanologia; Italia
Materia
Hf Radar Echo Detection
Ionospheric Virtual Height Determination
Time Domain Signal Processing
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/7160
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/7160
network_acronym_str CONICETDig
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network_name_str CONICET Digital (CONICET)
spelling Digital signal processing and numerical analysis for radar in geophysical applicationsMolina, María G.Cabrera, Miguel A.Ezquer, Rodolfo GerardoFernández, P. M.Zuccheretti, E.Hf Radar Echo DetectionIonospheric Virtual Height DeterminationTime Domain Signal Processinghttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1Numerical solutions for signal processing are described in this work as acontribution to study of echo detection methods for ionospheric sounder design. The ionospheric sounder is a high frequency radar for geophysical applications. The main detection approach has been done by implementing the spread-spectrum techniques using coding methods to improve the radar?s range resolution by transmitting low power. Digital signal processing has been performed and the numerical methods were checked. An algorithm was proposed and its computational complexity was calculated. The proposed detection process combines two channels correlations with the local code and calculates threshold (Vt) by statistical evaluation of the background noise to design adetection algorithm. The noisy signals treatment was performed depending on the threshold and echo amplitude. In each case, the detection was improved by using coherent integration. Synthetic signals, close loop and actual echoes, obtained from the Advanced Ionospheric Sounder (AIS-INGV) at Rome Ionospheric Observatory, were used to verify the process. The results showed that, even in highly noisy environments, the echo detection is possible. Given that these are preliminary results, further studies considering data sets corresponding to other geophysical conditions are needed.Fil: Molina, María G.. Universidad Nacional de Tucumán. Facultad de Ciencias Exactas y Tecnologia; Argentina. Universidad Nacional de Tucumán. Facultad de Ciencias Exactas y Tecnología. Departamento de Electricidad, Electrónica y Computación. Laboratorio de Telecomunicaciones; Argentina. Universidad Nacional de Tucumán. Facultad de Ciencias Exactas y Tecnología. Departamento de Física. Laboratorio de Ionosfera; ArgentinaFil: Cabrera, Miguel A.. Universidad Nacional de Tucumán. Facultad de Ciencias Exactas y Tecnología. Departamento de Física. Laboratorio de Ionosfera; Argentina. Universidad Nacional de Tucumán. Facultad de Ciencias Exactas y Tecnología. Departamento de Electricidad, Electrónica y Computación. Laboratorio de Telecomunicaciones; Argentina. Universidad Tecnologica Nacional. Facultad Regional Tucuman; ArgentinaFil: Ezquer, Rodolfo Gerardo. Universidad Nacional de Tucumán. Facultad de Ciencias Exactas y Tecnología. Departamento de Física. Laboratorio de Ionosfera; Argentina. Universidad Tecnologica Nacional. Facultad Regional Tucuman; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tucumán; ArgentinaFil: Fernández, P. M.. Universidad Nacional de Tucumán. Facultad de Ciencias Exactas y Tecnologia; ArgentinaFil: Zuccheretti, E.. Istituto Nazionale di Geofisica e Vulcanologia; ItaliaElsevier2013-03info: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/11336/7160Molina, María G.; Cabrera, Miguel A.; Ezquer, Rodolfo Gerardo; Fernández, P. M.; Zuccheretti, E.; Digital signal processing and numerical analysis for radar in geophysical applications; Elsevier; Advances In Space Research; 51; 10; 3-2013; 1870-18770273-1177enginfo:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S027311771200508Xinfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.asr.2012.07.032info:eu-repo/semantics/altIdentifier/doi/info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:23:02Zoai:ri.conicet.gov.ar:11336/7160instacron: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:34982025-10-15 14:23:02.998CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Digital signal processing and numerical analysis for radar in geophysical applications
title Digital signal processing and numerical analysis for radar in geophysical applications
spellingShingle Digital signal processing and numerical analysis for radar in geophysical applications
Molina, María G.
Hf Radar Echo Detection
Ionospheric Virtual Height Determination
Time Domain Signal Processing
title_short Digital signal processing and numerical analysis for radar in geophysical applications
title_full Digital signal processing and numerical analysis for radar in geophysical applications
title_fullStr Digital signal processing and numerical analysis for radar in geophysical applications
title_full_unstemmed Digital signal processing and numerical analysis for radar in geophysical applications
title_sort Digital signal processing and numerical analysis for radar in geophysical applications
dc.creator.none.fl_str_mv Molina, María G.
Cabrera, Miguel A.
Ezquer, Rodolfo Gerardo
Fernández, P. M.
Zuccheretti, E.
author Molina, María G.
author_facet Molina, María G.
Cabrera, Miguel A.
Ezquer, Rodolfo Gerardo
Fernández, P. M.
Zuccheretti, E.
author_role author
author2 Cabrera, Miguel A.
Ezquer, Rodolfo Gerardo
Fernández, P. M.
Zuccheretti, E.
author2_role author
author
author
author
dc.subject.none.fl_str_mv Hf Radar Echo Detection
Ionospheric Virtual Height Determination
Time Domain Signal Processing
topic Hf Radar Echo Detection
Ionospheric Virtual Height Determination
Time Domain Signal Processing
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Numerical solutions for signal processing are described in this work as acontribution to study of echo detection methods for ionospheric sounder design. The ionospheric sounder is a high frequency radar for geophysical applications. The main detection approach has been done by implementing the spread-spectrum techniques using coding methods to improve the radar?s range resolution by transmitting low power. Digital signal processing has been performed and the numerical methods were checked. An algorithm was proposed and its computational complexity was calculated. The proposed detection process combines two channels correlations with the local code and calculates threshold (Vt) by statistical evaluation of the background noise to design adetection algorithm. The noisy signals treatment was performed depending on the threshold and echo amplitude. In each case, the detection was improved by using coherent integration. Synthetic signals, close loop and actual echoes, obtained from the Advanced Ionospheric Sounder (AIS-INGV) at Rome Ionospheric Observatory, were used to verify the process. The results showed that, even in highly noisy environments, the echo detection is possible. Given that these are preliminary results, further studies considering data sets corresponding to other geophysical conditions are needed.
Fil: Molina, María G.. Universidad Nacional de Tucumán. Facultad de Ciencias Exactas y Tecnologia; Argentina. Universidad Nacional de Tucumán. Facultad de Ciencias Exactas y Tecnología. Departamento de Electricidad, Electrónica y Computación. Laboratorio de Telecomunicaciones; Argentina. Universidad Nacional de Tucumán. Facultad de Ciencias Exactas y Tecnología. Departamento de Física. Laboratorio de Ionosfera; Argentina
Fil: Cabrera, Miguel A.. Universidad Nacional de Tucumán. Facultad de Ciencias Exactas y Tecnología. Departamento de Física. Laboratorio de Ionosfera; Argentina. Universidad Nacional de Tucumán. Facultad de Ciencias Exactas y Tecnología. Departamento de Electricidad, Electrónica y Computación. Laboratorio de Telecomunicaciones; Argentina. Universidad Tecnologica Nacional. Facultad Regional Tucuman; Argentina
Fil: Ezquer, Rodolfo Gerardo. Universidad Nacional de Tucumán. Facultad de Ciencias Exactas y Tecnología. Departamento de Física. Laboratorio de Ionosfera; Argentina. Universidad Tecnologica Nacional. Facultad Regional Tucuman; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tucumán; Argentina
Fil: Fernández, P. M.. Universidad Nacional de Tucumán. Facultad de Ciencias Exactas y Tecnologia; Argentina
Fil: Zuccheretti, E.. Istituto Nazionale di Geofisica e Vulcanologia; Italia
description Numerical solutions for signal processing are described in this work as acontribution to study of echo detection methods for ionospheric sounder design. The ionospheric sounder is a high frequency radar for geophysical applications. The main detection approach has been done by implementing the spread-spectrum techniques using coding methods to improve the radar?s range resolution by transmitting low power. Digital signal processing has been performed and the numerical methods were checked. An algorithm was proposed and its computational complexity was calculated. The proposed detection process combines two channels correlations with the local code and calculates threshold (Vt) by statistical evaluation of the background noise to design adetection algorithm. The noisy signals treatment was performed depending on the threshold and echo amplitude. In each case, the detection was improved by using coherent integration. Synthetic signals, close loop and actual echoes, obtained from the Advanced Ionospheric Sounder (AIS-INGV) at Rome Ionospheric Observatory, were used to verify the process. The results showed that, even in highly noisy environments, the echo detection is possible. Given that these are preliminary results, further studies considering data sets corresponding to other geophysical conditions are needed.
publishDate 2013
dc.date.none.fl_str_mv 2013-03
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/11336/7160
Molina, María G.; Cabrera, Miguel A.; Ezquer, Rodolfo Gerardo; Fernández, P. M.; Zuccheretti, E.; Digital signal processing and numerical analysis for radar in geophysical applications; Elsevier; Advances In Space Research; 51; 10; 3-2013; 1870-1877
0273-1177
url http://hdl.handle.net/11336/7160
identifier_str_mv Molina, María G.; Cabrera, Miguel A.; Ezquer, Rodolfo Gerardo; Fernández, P. M.; Zuccheretti, E.; Digital signal processing and numerical analysis for radar in geophysical applications; Elsevier; Advances In Space Research; 51; 10; 3-2013; 1870-1877
0273-1177
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S027311771200508X
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.asr.2012.07.032
info:eu-repo/semantics/altIdentifier/doi/
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
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 13.22299

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