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On geometry parameterization for simulation-driven design closure of antenna structures

Abstract

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.

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DOI:
Digital Object Identifier (open in new tab) 10.1038/s41598-021-03728-4
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Details

Category:
Articles
Type:
artykuły w czasopismach
Published in:
Scientific Reports no. 11,
ISSN: 2045-2322
Language:
English
Publication year:
2021
Bibliographic description:
Kozieł S., Pietrenko-Dąbrowska A.: On geometry parameterization for simulation-driven design closure of antenna structures// Scientific Reports -Vol. 11, (2021), s.24304-
DOI:
Digital Object Identifier (open in new tab) 10.1038/s41598-021-03728-4
Verified by:
Gdańsk University of Technology

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