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On geometry parameterization for simulation-driven design closure of antenna structures
Full-wave electromagnetic (EM) simulation tools have become ubiquitous in antenna design, especially final tuning of geometry parameters. From the reliability standpoint, the recommended realization of EM-driven design is through rigorous numerical optimization. It is a challenging endeavor with the...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8692413/ https://www.ncbi.nlm.nih.gov/pubmed/34934088 http://dx.doi.org/10.1038/s41598-021-03728-4 |
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author | Koziel, Slawomir Pietrenko-Dabrowska, Anna |
author_facet | Koziel, Slawomir Pietrenko-Dabrowska, Anna |
author_sort | Koziel, Slawomir |
collection | PubMed |
description | Full-wave electromagnetic (EM) simulation tools have become ubiquitous in antenna design, especially final tuning of geometry parameters. From the reliability standpoint, the recommended realization of EM-driven design is through rigorous numerical optimization. It is a challenging endeavor with the major issues related to the high computational cost of the process, but also the necessity of handling several objectives and constraints over often highly-dimensional parameter spaces. From the numerical perspective, making decisions about the formulation of the optimization problem, the approach to handling the design constraints, but also parameterization of the antenna geometry, are all non-trivial. At the same time, these issues are interleaved, and may play an important role in the performance and reliability of the simulation-based design closure process. This paper demonstrates that the approach to arranging the structure parameterization (e.g., the use of absolute or relative parameters) may have a major effect of the optimization outcome. Our investigations are carried out using three broadband monopole antennas optimized under different scenarios and using different parameterizations. In particular, the results indicate that relative parameterization is preferred for optimization of input characteristics, whereas absolute parameterization is more suitable for size reduction. |
format | Online Article Text |
id | pubmed-8692413 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-86924132021-12-22 On geometry parameterization for simulation-driven design closure of antenna structures Koziel, Slawomir Pietrenko-Dabrowska, Anna Sci Rep Article Full-wave electromagnetic (EM) simulation tools have become ubiquitous in antenna design, especially final tuning of geometry parameters. From the reliability standpoint, the recommended realization of EM-driven design is through rigorous numerical optimization. It is a challenging endeavor with the major issues related to the high computational cost of the process, but also the necessity of handling several objectives and constraints over often highly-dimensional parameter spaces. From the numerical perspective, making decisions about the formulation of the optimization problem, the approach to handling the design constraints, but also parameterization of the antenna geometry, are all non-trivial. At the same time, these issues are interleaved, and may play an important role in the performance and reliability of the simulation-based design closure process. This paper demonstrates that the approach to arranging the structure parameterization (e.g., the use of absolute or relative parameters) may have a major effect of the optimization outcome. Our investigations are carried out using three broadband monopole antennas optimized under different scenarios and using different parameterizations. In particular, the results indicate that relative parameterization is preferred for optimization of input characteristics, whereas absolute parameterization is more suitable for size reduction. Nature Publishing Group UK 2021-12-21 /pmc/articles/PMC8692413/ /pubmed/34934088 http://dx.doi.org/10.1038/s41598-021-03728-4 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Koziel, Slawomir Pietrenko-Dabrowska, Anna On geometry parameterization for simulation-driven design closure of antenna structures |
title | On geometry parameterization for simulation-driven design closure of antenna structures |
title_full | On geometry parameterization for simulation-driven design closure of antenna structures |
title_fullStr | On geometry parameterization for simulation-driven design closure of antenna structures |
title_full_unstemmed | On geometry parameterization for simulation-driven design closure of antenna structures |
title_short | On geometry parameterization for simulation-driven design closure of antenna structures |
title_sort | on geometry parameterization for simulation-driven design closure of antenna structures |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8692413/ https://www.ncbi.nlm.nih.gov/pubmed/34934088 http://dx.doi.org/10.1038/s41598-021-03728-4 |
work_keys_str_mv | AT kozielslawomir ongeometryparameterizationforsimulationdrivendesignclosureofantennastructures AT pietrenkodabrowskaanna ongeometryparameterizationforsimulationdrivendesignclosureofantennastructures |