PSO based methodology for optimization of patch antenna design for ISM and 5G bands applications

Detalhes bibliográficos
Ano de defesa: 2024
Autor(a) principal: SILVA, Marcos Vinícius dos Santos lattes
Orientador(a): BRAGA, Rodrigo Aparecido da Silva lattes
Banca de defesa: Não Informado pela instituição
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: eng
Instituição de defesa: Universidade Federal de Itajubá
Programa de Pós-Graduação: Programa de Pós-Graduação: Mestrado - Ciência e Tecnologia da Computação
Departamento: IESTI - Instituto de Engenharia de Sistemas e Tecnologia da Informação
País: Brasil
Palavras-chave em Português:
Antenna design
Particle swarm optimization
Patch antenna
ISM band
5G band
Optimization methodology
Área do conhecimento CNPq:
CNPQ::CIÊNCIAS EXATAS E DA TERRA::CIÊNCIA DA COMPUTAÇÃO
Link de acesso: https://repositorio.unifei.edu.br/jspui/handle/123456789/4123
Resumo: This thesis presents a novel methodology for optimizing patch antenna designs for both ISM (industrial, scientific, and medical) and 5G frequency bands, based on the particle swarm optimization (PSO) algorithm. Traditional design methods rely on equations to approximate antenna dimensions based on target frequencies, often requiring iterative adjustments to achieve desired performance specifications. This research demonstrates that by employing PSO to estimate geometric parameters, the time-consuming fine-tuning process can be significantly reduced. The proposed approach is validated through the design of patch antennas for both ISM and 5G bands. Results indicate substantial improvements in return loss and size reduction, achieving a 25% decrease in antenna size for ISM applications and a 12% reduction for 5G designs. This research contributes to the advancement of antenna design methodologies, showcasing the potential of PSO for efficient and effective optimization across different frequency bands.
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spelling 2024-06-212024-09-052024-09-05T13:09:02Z2024-09-05T13:09:02Zhttps://repositorio.unifei.edu.br/jspui/handle/123456789/4123This thesis presents a novel methodology for optimizing patch antenna designs for both ISM (industrial, scientific, and medical) and 5G frequency bands, based on the particle swarm optimization (PSO) algorithm. Traditional design methods rely on equations to approximate antenna dimensions based on target frequencies, often requiring iterative adjustments to achieve desired performance specifications. This research demonstrates that by employing PSO to estimate geometric parameters, the time-consuming fine-tuning process can be significantly reduced. The proposed approach is validated through the design of patch antennas for both ISM and 5G bands. Results indicate substantial improvements in return loss and size reduction, achieving a 25% decrease in antenna size for ISM applications and a 12% reduction for 5G designs. This research contributes to the advancement of antenna design methodologies, showcasing the potential of PSO for efficient and effective optimization across different frequency bands.engUniversidade Federal de ItajubáPrograma de Pós-Graduação: Mestrado - Ciência e Tecnologia da ComputaçãoUNIFEIBrasilIESTI - Instituto de Engenharia de Sistemas e Tecnologia da InformaçãoCNPQ::CIÊNCIAS EXATAS E DA TERRA::CIÊNCIA DA COMPUTAÇÃOAntenna designParticle swarm optimizationPatch antennaISM band5G bandOptimization methodologyPSO based methodology for optimization of patch antenna design for ISM and 5G bands applicationsinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisBRAGA, Rodrigo Aparecido da Silvahttp://lattes.cnpq.br/4343678779982973SILVA, Fernanda Rodrigueshttp://lattes.cnpq.br/7623907935694547http://lattes.cnpq.br/5949605467704697SILVA, Marcos Vinícius dos SantosSILVA, Marcos Vinícius dos Santos. PSO based methodology for optimization of patch antenna design for ISM and 5G bands applications. 2024. 49 f. Dissertação (Mestrado em Ciência e Tecnologia da Computação.) – Universidade Federal de Itajubá, Itajubá, 2024.info:eu-repo/semantics/openAccessreponame:Repositório Institucional da UNIFEI (RIUNIFEI)instname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEILICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorio.unifei.edu.br/jspui/bitstream/123456789/4123/2/license.txt8a4605be74aa9ea9d79846c1fba20a33MD52ORIGINALDissertação_2024112.pdfDissertação_2024112.pdfapplication/pdf1171235https://repositorio.unifei.edu.br/jspui/bitstream/123456789/4123/1/Disserta%c3%a7%c3%a3o_2024112.pdf0a49c6f4e0e55625408a7987ddd6eaefMD51123456789/41232024-09-10 15:39:01.84oai:repositorio.unifei.edu.br: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Repositório InstitucionalPUBhttps://repositorio.unifei.edu.br/oai/requestrepositorio@unifei.edu.br || geraldocarlos@unifei.edu.bropendoar:70442025-08-26T21:13:50.473007Repositório Institucional da UNIFEI (RIUNIFEI) - Universidade Federal de Itajubá (UNIFEI)false
dc.title.pt_BR.fl_str_mv PSO based methodology for optimization of patch antenna design for ISM and 5G bands applications
title PSO based methodology for optimization of patch antenna design for ISM and 5G bands applications
spellingShingle PSO based methodology for optimization of patch antenna design for ISM and 5G bands applications
SILVA, Marcos Vinícius dos Santos
CNPQ::CIÊNCIAS EXATAS E DA TERRA::CIÊNCIA DA COMPUTAÇÃO
Antenna design
Particle swarm optimization
Patch antenna
ISM band
5G band
Optimization methodology
title_short PSO based methodology for optimization of patch antenna design for ISM and 5G bands applications
title_full PSO based methodology for optimization of patch antenna design for ISM and 5G bands applications
title_fullStr PSO based methodology for optimization of patch antenna design for ISM and 5G bands applications
title_full_unstemmed PSO based methodology for optimization of patch antenna design for ISM and 5G bands applications
title_sort PSO based methodology for optimization of patch antenna design for ISM and 5G bands applications
author SILVA, Marcos Vinícius dos Santos
author_facet SILVA, Marcos Vinícius dos Santos
author_role author
dc.contributor.advisor1.fl_str_mv BRAGA, Rodrigo Aparecido da Silva
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/4343678779982973
dc.contributor.advisor-co1.fl_str_mv SILVA, Fernanda Rodrigues
dc.contributor.advisor-co1Lattes.fl_str_mv http://lattes.cnpq.br/7623907935694547
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/5949605467704697
dc.contributor.author.fl_str_mv SILVA, Marcos Vinícius dos Santos
contributor_str_mv BRAGA, Rodrigo Aparecido da Silva
SILVA, Fernanda Rodrigues
dc.subject.cnpq.fl_str_mv CNPQ::CIÊNCIAS EXATAS E DA TERRA::CIÊNCIA DA COMPUTAÇÃO
topic CNPQ::CIÊNCIAS EXATAS E DA TERRA::CIÊNCIA DA COMPUTAÇÃO
Antenna design
Particle swarm optimization
Patch antenna
ISM band
5G band
Optimization methodology
dc.subject.por.fl_str_mv Antenna design
Particle swarm optimization
Patch antenna
ISM band
5G band
Optimization methodology
description This thesis presents a novel methodology for optimizing patch antenna designs for both ISM (industrial, scientific, and medical) and 5G frequency bands, based on the particle swarm optimization (PSO) algorithm. Traditional design methods rely on equations to approximate antenna dimensions based on target frequencies, often requiring iterative adjustments to achieve desired performance specifications. This research demonstrates that by employing PSO to estimate geometric parameters, the time-consuming fine-tuning process can be significantly reduced. The proposed approach is validated through the design of patch antennas for both ISM and 5G bands. Results indicate substantial improvements in return loss and size reduction, achieving a 25% decrease in antenna size for ISM applications and a 12% reduction for 5G designs. This research contributes to the advancement of antenna design methodologies, showcasing the potential of PSO for efficient and effective optimization across different frequency bands.
publishDate 2024
dc.date.issued.fl_str_mv 2024-06-21
dc.date.available.fl_str_mv 2024-09-05
2024-09-05T13:09:02Z
dc.date.accessioned.fl_str_mv 2024-09-05T13:09:02Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://repositorio.unifei.edu.br/jspui/handle/123456789/4123
url https://repositorio.unifei.edu.br/jspui/handle/123456789/4123
dc.language.iso.fl_str_mv eng
language eng
dc.relation.references.pt_BR.fl_str_mv SILVA, Marcos Vinícius dos Santos. PSO based methodology for optimization of patch antenna design for ISM and 5G bands applications. 2024. 49 f. Dissertação (Mestrado em Ciência e Tecnologia da Computação.) – Universidade Federal de Itajubá, Itajubá, 2024.
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Universidade Federal de Itajubá
dc.publisher.program.fl_str_mv Programa de Pós-Graduação: Mestrado - Ciência e Tecnologia da Computação
dc.publisher.initials.fl_str_mv UNIFEI
dc.publisher.country.fl_str_mv Brasil
dc.publisher.department.fl_str_mv IESTI - Instituto de Engenharia de Sistemas e Tecnologia da Informação
publisher.none.fl_str_mv Universidade Federal de Itajubá
dc.source.none.fl_str_mv reponame:Repositório Institucional da UNIFEI (RIUNIFEI)
instname:Universidade Federal de Itajubá (UNIFEI)
instacron:UNIFEI
instname_str Universidade Federal de Itajubá (UNIFEI)
instacron_str UNIFEI
institution UNIFEI
reponame_str Repositório Institucional da UNIFEI (RIUNIFEI)
collection Repositório Institucional da UNIFEI (RIUNIFEI)
bitstream.url.fl_str_mv https://repositorio.unifei.edu.br/jspui/bitstream/123456789/4123/2/license.txt
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