Design of 2D planar sparse binned arrays based on the Coarray analysis
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.3390/s21238018 http://hdl.handle.net/11449/233846 |
Resumo: | The analysis of the beampattern is the base of sparse arrays design process. However, in the case of bidimensional arrays, this analysis has a high computational cost, turning the design process into a long and complex task. If the imaging system development is considered a holistic process, the aperture is a sampling grid that must be considered in the spatial domain through the coarray structure. Here, we propose to guide the aperture design process using statistical parameters of the distribution of the weights in the coarray. We have studied three designs of sparse matrix binned arrays with different sparseness degrees. Our results prove that there is a relationship between these parameters and the beampattern, which is valuable and improves the array design process. The proposed methodology reduces the computational cost up to 58 times with respect to the conventional fitness function based on the beampattern analysis. |
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Repositório Institucional da UNESP |
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Design of 2D planar sparse binned arrays based on the Coarray analysisBeamformingSparse arraysUltrasonic imagingThe analysis of the beampattern is the base of sparse arrays design process. However, in the case of bidimensional arrays, this analysis has a high computational cost, turning the design process into a long and complex task. If the imaging system development is considered a holistic process, the aperture is a sampling grid that must be considered in the spatial domain through the coarray structure. Here, we propose to guide the aperture design process using statistical parameters of the distribution of the weights in the coarray. We have studied three designs of sparse matrix binned arrays with different sparseness degrees. Our results prove that there is a relationship between these parameters and the beampattern, which is valuable and improves the array design process. The proposed methodology reduces the computational cost up to 58 times with respect to the conventional fitness function based on the beampattern analysis.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Agencia Estatal de InvestigaciónFederación Española de Enfermedades RarasInstituto de Tecnologías Físicas y de la Información (ITEFI-CSIC), C/Serrano 144Faculdade de Engenharia Universidade Estadual Paulista (UNESP), Campus Ilha Solteira, Avenida Brasil, 56, SPFaculdade de Engenharia Universidade Estadual Paulista (UNESP), Campus Ilha Solteira, Avenida Brasil, 56, SPCAPES: 001Agencia Estatal de Investigación: PID 2019-111392RB-I00Federación Española de Enfermedades Raras: PID 2019-111392RB-I00Instituto de Tecnologías Físicas y de la Información (ITEFI-CSIC)Universidade Estadual Paulista (UNESP)Martínez-Graullera, Óscarde Souza, Júlio Cesar Eduardo [UNESP]Romero, Monsterrat ParrillaHiguti, Ricardo Tokio [UNESP]2022-05-01T11:07:18Z2022-05-01T11:07:18Z2021-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.3390/s21238018Sensors, v. 21, n. 23, 2021.1424-8220http://hdl.handle.net/11449/23384610.3390/s212380182-s2.0-85120048601Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengSensorsinfo:eu-repo/semantics/openAccess2024-07-04T19:06:25Zoai:repositorio.unesp.br:11449/233846Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T19:28:51.833745Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Design of 2D planar sparse binned arrays based on the Coarray analysis |
title |
Design of 2D planar sparse binned arrays based on the Coarray analysis |
spellingShingle |
Design of 2D planar sparse binned arrays based on the Coarray analysis Martínez-Graullera, Óscar Beamforming Sparse arrays Ultrasonic imaging |
title_short |
Design of 2D planar sparse binned arrays based on the Coarray analysis |
title_full |
Design of 2D planar sparse binned arrays based on the Coarray analysis |
title_fullStr |
Design of 2D planar sparse binned arrays based on the Coarray analysis |
title_full_unstemmed |
Design of 2D planar sparse binned arrays based on the Coarray analysis |
title_sort |
Design of 2D planar sparse binned arrays based on the Coarray analysis |
author |
Martínez-Graullera, Óscar |
author_facet |
Martínez-Graullera, Óscar de Souza, Júlio Cesar Eduardo [UNESP] Romero, Monsterrat Parrilla Higuti, Ricardo Tokio [UNESP] |
author_role |
author |
author2 |
de Souza, Júlio Cesar Eduardo [UNESP] Romero, Monsterrat Parrilla Higuti, Ricardo Tokio [UNESP] |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Instituto de Tecnologías Físicas y de la Información (ITEFI-CSIC) Universidade Estadual Paulista (UNESP) |
dc.contributor.author.fl_str_mv |
Martínez-Graullera, Óscar de Souza, Júlio Cesar Eduardo [UNESP] Romero, Monsterrat Parrilla Higuti, Ricardo Tokio [UNESP] |
dc.subject.por.fl_str_mv |
Beamforming Sparse arrays Ultrasonic imaging |
topic |
Beamforming Sparse arrays Ultrasonic imaging |
description |
The analysis of the beampattern is the base of sparse arrays design process. However, in the case of bidimensional arrays, this analysis has a high computational cost, turning the design process into a long and complex task. If the imaging system development is considered a holistic process, the aperture is a sampling grid that must be considered in the spatial domain through the coarray structure. Here, we propose to guide the aperture design process using statistical parameters of the distribution of the weights in the coarray. We have studied three designs of sparse matrix binned arrays with different sparseness degrees. Our results prove that there is a relationship between these parameters and the beampattern, which is valuable and improves the array design process. The proposed methodology reduces the computational cost up to 58 times with respect to the conventional fitness function based on the beampattern analysis. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-12-01 2022-05-01T11:07:18Z 2022-05-01T11:07:18Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.3390/s21238018 Sensors, v. 21, n. 23, 2021. 1424-8220 http://hdl.handle.net/11449/233846 10.3390/s21238018 2-s2.0-85120048601 |
url |
http://dx.doi.org/10.3390/s21238018 http://hdl.handle.net/11449/233846 |
identifier_str_mv |
Sensors, v. 21, n. 23, 2021. 1424-8220 10.3390/s21238018 2-s2.0-85120048601 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Sensors |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808129075451002880 |