A New Fitness Function for Sparse Linear Array Evaluation Based on the Point Spread Function

Detalhes bibliográficos
Autor(a) principal: Souza, Julio Cesar Eduardo De [UNESP]
Data de Publicação: 2021
Outros Autores: Prado, Vander Teixeira, Martinez-Graullera, Oscar, Higuti, Ricardo Tokio [UNESP]
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1109/LAUS53676.2021.9639116
http://hdl.handle.net/11449/234107
Resumo: This work proposes a new fitness function for sparse linear array design using the Point Spread Function (PSF), where the energy and entropy are combined. The Arithmetic optimization Algorithm is used as a search mechanism, and a new strategy to find sparse linear configurations is proposed. This new strategy eliminates the necessity of penalization functions to control the number of elements in sparse arrays. The algorithm is used to find two sparse linear arrays, one using a fitness function based on the radiation pattern, and the other with the proposed fitness function. Comparing the results, the configuration found using the proposed fitness function presented better lateral resolution and contrast.
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spelling A New Fitness Function for Sparse Linear Array Evaluation Based on the Point Spread FunctionArithmetic optimization AlgorithmFitness FunctionSparse Linear ArrayUltrasound ImagingThis work proposes a new fitness function for sparse linear array design using the Point Spread Function (PSF), where the energy and entropy are combined. The Arithmetic optimization Algorithm is used as a search mechanism, and a new strategy to find sparse linear configurations is proposed. This new strategy eliminates the necessity of penalization functions to control the number of elements in sparse arrays. The algorithm is used to find two sparse linear arrays, one using a fitness function based on the radiation pattern, and the other with the proposed fitness function. Comparing the results, the configuration found using the proposed fitness function presented better lateral resolution and contrast.Universidade Estadual Paulista (UNESP) Departamento De Engenharia ElétricaUniversidade Tecno. Federal Do Paraná (UTFPR) Departamento De Engenharia ElétricaInstituto De Tecno. Físicas Y De La Información Consejo Superior De Invest. Científicas (CSIC)Universidade Estadual Paulista (UNESP) Departamento De Engenharia ElétricaUniversidade Estadual Paulista (UNESP)Universidade Tecno. Federal Do Paraná (UTFPR)Físicas Y De La Información Consejo Superior De Invest. Científicas (CSIC)Souza, Julio Cesar Eduardo De [UNESP]Prado, Vander TeixeiraMartinez-Graullera, OscarHiguti, Ricardo Tokio [UNESP]2022-05-01T13:41:29Z2022-05-01T13:41:29Z2021-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1109/LAUS53676.2021.9639116LAUS 2021 - 2021 IEEE UFFC Latin America Ultrasonics Symposium, Proceedings.http://hdl.handle.net/11449/23410710.1109/LAUS53676.2021.96391162-s2.0-85124165810Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengLAUS 2021 - 2021 IEEE UFFC Latin America Ultrasonics Symposium, Proceedingsinfo:eu-repo/semantics/openAccess2022-05-01T13:41:29Zoai:repositorio.unesp.br:11449/234107Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462022-05-01T13:41:29Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv A New Fitness Function for Sparse Linear Array Evaluation Based on the Point Spread Function
title A New Fitness Function for Sparse Linear Array Evaluation Based on the Point Spread Function
spellingShingle A New Fitness Function for Sparse Linear Array Evaluation Based on the Point Spread Function
Souza, Julio Cesar Eduardo De [UNESP]
Arithmetic optimization Algorithm
Fitness Function
Sparse Linear Array
Ultrasound Imaging
title_short A New Fitness Function for Sparse Linear Array Evaluation Based on the Point Spread Function
title_full A New Fitness Function for Sparse Linear Array Evaluation Based on the Point Spread Function
title_fullStr A New Fitness Function for Sparse Linear Array Evaluation Based on the Point Spread Function
title_full_unstemmed A New Fitness Function for Sparse Linear Array Evaluation Based on the Point Spread Function
title_sort A New Fitness Function for Sparse Linear Array Evaluation Based on the Point Spread Function
author Souza, Julio Cesar Eduardo De [UNESP]
author_facet Souza, Julio Cesar Eduardo De [UNESP]
Prado, Vander Teixeira
Martinez-Graullera, Oscar
Higuti, Ricardo Tokio [UNESP]
author_role author
author2 Prado, Vander Teixeira
Martinez-Graullera, Oscar
Higuti, Ricardo Tokio [UNESP]
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
Universidade Tecno. Federal Do Paraná (UTFPR)
Físicas Y De La Información Consejo Superior De Invest. Científicas (CSIC)
dc.contributor.author.fl_str_mv Souza, Julio Cesar Eduardo De [UNESP]
Prado, Vander Teixeira
Martinez-Graullera, Oscar
Higuti, Ricardo Tokio [UNESP]
dc.subject.por.fl_str_mv Arithmetic optimization Algorithm
Fitness Function
Sparse Linear Array
Ultrasound Imaging
topic Arithmetic optimization Algorithm
Fitness Function
Sparse Linear Array
Ultrasound Imaging
description This work proposes a new fitness function for sparse linear array design using the Point Spread Function (PSF), where the energy and entropy are combined. The Arithmetic optimization Algorithm is used as a search mechanism, and a new strategy to find sparse linear configurations is proposed. This new strategy eliminates the necessity of penalization functions to control the number of elements in sparse arrays. The algorithm is used to find two sparse linear arrays, one using a fitness function based on the radiation pattern, and the other with the proposed fitness function. Comparing the results, the configuration found using the proposed fitness function presented better lateral resolution and contrast.
publishDate 2021
dc.date.none.fl_str_mv 2021-01-01
2022-05-01T13:41:29Z
2022-05-01T13:41:29Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1109/LAUS53676.2021.9639116
LAUS 2021 - 2021 IEEE UFFC Latin America Ultrasonics Symposium, Proceedings.
http://hdl.handle.net/11449/234107
10.1109/LAUS53676.2021.9639116
2-s2.0-85124165810
url http://dx.doi.org/10.1109/LAUS53676.2021.9639116
http://hdl.handle.net/11449/234107
identifier_str_mv LAUS 2021 - 2021 IEEE UFFC Latin America Ultrasonics Symposium, Proceedings.
10.1109/LAUS53676.2021.9639116
2-s2.0-85124165810
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv LAUS 2021 - 2021 IEEE UFFC Latin America Ultrasonics Symposium, Proceedings
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
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