Improved architecture of complementary set of sequences correlation by means of an inverse generation approach

Autores
Funes, Marcos Alan; Donato, Patricio Gabriel; Hadad, Matías Nicolás; Carrica, Daniel Oscar; Benedetti, Mario
Año de publicación
2012
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
System coding is a growing trend in all fields of engineering. Many different algorithms have been developed and studied for applications in signal processing, radar and multi-emission systems, among others. One of the most interesting algorithms, among these, is the complementary sets of sequences (CSS) given their potential and simplicity. They are characterised by a distinctive correlation and orthogonality properties. Nowadays, sustained efforts are being devoted toreducing the calculations involved in the generation and/or correlation of these sequences by means of recursive algorithms. Some authors have brought forward efficient algorithms that are based on modular architectures made up of adders, multipliers and delays. This work introduces an inverse generation approach to perform the correlation of CSS. This approach allows one to substantially reduce calculations, and enables the simultaneous correlation of M sequences, adopting neither time-multiplexing schemes nor complex parallel implementations. This is theoretically demonstrated by means of generation and correlation algorithms. An analysis of the performance and efficiency is then conducted in a reconfigurable hardware platform. The proposal represents an advance in the practical application of these sequences in the above-mentioned fields.
Fil: Funes, Marcos Alan. Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Departamento de Electrónica. Laboratorio de Instrumentación y Control; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina
Fil: Donato, Patricio Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Departamento de Electrónica. Laboratorio de Instrumentación y Control; Argentina
Fil: Hadad, Matías Nicolás. Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Departamento de Electrónica. Laboratorio de Instrumentación y Control; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina
Fil: Carrica, Daniel Oscar. Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Departamento de Electrónica. Laboratorio de Instrumentación y Control; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina
Fil: Benedetti, Mario. Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Departamento de Electrónica. Laboratorio de Instrumentación y Control; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina
Materia
Secuencias Complementarias
Correlación
Codificación
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:11336/105754
Acceder
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spelling Improved architecture of complementary set of sequences correlation by means of an inverse generation approachFunes, Marcos AlanDonato, Patricio GabrielHadad, Matías NicolásCarrica, Daniel OscarBenedetti, MarioSecuencias ComplementariasCorrelaciónCodificaciónhttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2System coding is a growing trend in all fields of engineering. Many different algorithms have been developed and studied for applications in signal processing, radar and multi-emission systems, among others. One of the most interesting algorithms, among these, is the complementary sets of sequences (CSS) given their potential and simplicity. They are characterised by a distinctive correlation and orthogonality properties. Nowadays, sustained efforts are being devoted toreducing the calculations involved in the generation and/or correlation of these sequences by means of recursive algorithms. Some authors have brought forward efficient algorithms that are based on modular architectures made up of adders, multipliers and delays. This work introduces an inverse generation approach to perform the correlation of CSS. This approach allows one to substantially reduce calculations, and enables the simultaneous correlation of M sequences, adopting neither time-multiplexing schemes nor complex parallel implementations. This is theoretically demonstrated by means of generation and correlation algorithms. An analysis of the performance and efficiency is then conducted in a reconfigurable hardware platform. The proposal represents an advance in the practical application of these sequences in the above-mentioned fields.Fil: Funes, Marcos Alan. Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Departamento de Electrónica. Laboratorio de Instrumentación y Control; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; ArgentinaFil: Donato, Patricio Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Departamento de Electrónica. Laboratorio de Instrumentación y Control; ArgentinaFil: Hadad, Matías Nicolás. Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Departamento de Electrónica. Laboratorio de Instrumentación y Control; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; ArgentinaFil: Carrica, Daniel Oscar. Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Departamento de Electrónica. Laboratorio de Instrumentación y Control; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; ArgentinaFil: Benedetti, Mario. Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Departamento de Electrónica. Laboratorio de Instrumentación y Control; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; ArgentinaInstitution of Engineering and Technology2012-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/105754Funes, Marcos Alan; Donato, Patricio Gabriel; Hadad, Matías Nicolás; Carrica, Daniel Oscar; Benedetti, Mario; Improved architecture of complementary set of sequences correlation by means of an inverse generation approach; Institution of Engineering and Technology; Iet Signal Processing; 6; 11-2012; 724-7301751-9675CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2011.0296info:eu-repo/semantics/altIdentifier/doi/ 10.1049/iet-spr.2011.0296info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:28:58Zoai:ri.conicet.gov.ar:11336/105754instacron: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:34982025-09-29 10:28:58.688CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Improved architecture of complementary set of sequences correlation by means of an inverse generation approach
title Improved architecture of complementary set of sequences correlation by means of an inverse generation approach
spellingShingle Improved architecture of complementary set of sequences correlation by means of an inverse generation approach
Funes, Marcos Alan
Secuencias Complementarias
Correlación
Codificación
title_short Improved architecture of complementary set of sequences correlation by means of an inverse generation approach
title_full Improved architecture of complementary set of sequences correlation by means of an inverse generation approach
title_fullStr Improved architecture of complementary set of sequences correlation by means of an inverse generation approach
title_full_unstemmed Improved architecture of complementary set of sequences correlation by means of an inverse generation approach
title_sort Improved architecture of complementary set of sequences correlation by means of an inverse generation approach
dc.creator.none.fl_str_mv Funes, Marcos Alan
Donato, Patricio Gabriel
Hadad, Matías Nicolás
Carrica, Daniel Oscar
Benedetti, Mario
author Funes, Marcos Alan
author_facet Funes, Marcos Alan
Donato, Patricio Gabriel
Hadad, Matías Nicolás
Carrica, Daniel Oscar
Benedetti, Mario
author_role author
author2 Donato, Patricio Gabriel
Hadad, Matías Nicolás
Carrica, Daniel Oscar
Benedetti, Mario
author2_role author
author
author
author
dc.subject.none.fl_str_mv Secuencias Complementarias
Correlación
Codificación
topic Secuencias Complementarias
Correlación
Codificación
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv System coding is a growing trend in all fields of engineering. Many different algorithms have been developed and studied for applications in signal processing, radar and multi-emission systems, among others. One of the most interesting algorithms, among these, is the complementary sets of sequences (CSS) given their potential and simplicity. They are characterised by a distinctive correlation and orthogonality properties. Nowadays, sustained efforts are being devoted toreducing the calculations involved in the generation and/or correlation of these sequences by means of recursive algorithms. Some authors have brought forward efficient algorithms that are based on modular architectures made up of adders, multipliers and delays. This work introduces an inverse generation approach to perform the correlation of CSS. This approach allows one to substantially reduce calculations, and enables the simultaneous correlation of M sequences, adopting neither time-multiplexing schemes nor complex parallel implementations. This is theoretically demonstrated by means of generation and correlation algorithms. An analysis of the performance and efficiency is then conducted in a reconfigurable hardware platform. The proposal represents an advance in the practical application of these sequences in the above-mentioned fields.
Fil: Funes, Marcos Alan. Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Departamento de Electrónica. Laboratorio de Instrumentación y Control; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina
Fil: Donato, Patricio Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Departamento de Electrónica. Laboratorio de Instrumentación y Control; Argentina
Fil: Hadad, Matías Nicolás. Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Departamento de Electrónica. Laboratorio de Instrumentación y Control; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina
Fil: Carrica, Daniel Oscar. Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Departamento de Electrónica. Laboratorio de Instrumentación y Control; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina
Fil: Benedetti, Mario. Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Departamento de Electrónica. Laboratorio de Instrumentación y Control; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina
description System coding is a growing trend in all fields of engineering. Many different algorithms have been developed and studied for applications in signal processing, radar and multi-emission systems, among others. One of the most interesting algorithms, among these, is the complementary sets of sequences (CSS) given their potential and simplicity. They are characterised by a distinctive correlation and orthogonality properties. Nowadays, sustained efforts are being devoted toreducing the calculations involved in the generation and/or correlation of these sequences by means of recursive algorithms. Some authors have brought forward efficient algorithms that are based on modular architectures made up of adders, multipliers and delays. This work introduces an inverse generation approach to perform the correlation of CSS. This approach allows one to substantially reduce calculations, and enables the simultaneous correlation of M sequences, adopting neither time-multiplexing schemes nor complex parallel implementations. This is theoretically demonstrated by means of generation and correlation algorithms. An analysis of the performance and efficiency is then conducted in a reconfigurable hardware platform. The proposal represents an advance in the practical application of these sequences in the above-mentioned fields.
publishDate 2012
dc.date.none.fl_str_mv 2012-11
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/11336/105754
Funes, Marcos Alan; Donato, Patricio Gabriel; Hadad, Matías Nicolás; Carrica, Daniel Oscar; Benedetti, Mario; Improved architecture of complementary set of sequences correlation by means of an inverse generation approach; Institution of Engineering and Technology; Iet Signal Processing; 6; 11-2012; 724-730
1751-9675
CONICET Digital
CONICET
url http://hdl.handle.net/11336/105754
identifier_str_mv Funes, Marcos Alan; Donato, Patricio Gabriel; Hadad, Matías Nicolás; Carrica, Daniel Oscar; Benedetti, Mario; Improved architecture of complementary set of sequences correlation by means of an inverse generation approach; Institution of Engineering and Technology; Iet Signal Processing; 6; 11-2012; 724-730
1751-9675
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2011.0296
info:eu-repo/semantics/altIdentifier/doi/ 10.1049/iet-spr.2011.0296
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
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Institution of Engineering and Technology
publisher.none.fl_str_mv Institution of Engineering and Technology
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 13.070432

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