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Abstract
Behavioral modeling has been rising in importance in modern antenna design. It is primarily employed to diminish the computational cost of procedures involving massive full-wave electromagnetic (EM) simulations. Cheaper alternative offer surrogate models, yet, setting up data-driven surrogates is impeded by, among others, the curse of dimensionality. This article introduces a novel approach to reduced-cost surrogate modeling of antenna structures, which focuses the modeling process on design space regions containing high-quality designs, identified by randomized pre-screening. A supplementary dimensionality reduction is applied via the spectral analysis of the random observable set. The reduction process identifies the most important directions from the standpoint of geometry parameter correlations, and spans the domain along a small subset thereof. As demonstrated, domain confinement as outlined above permits a dramatic improvement of surrogate accuracy in comparison to the state-of-the-art modeling approaches.
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Authors (3)
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Leifur Leifsson
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- Category:
- Conference activity
- Type:
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Language:
- English
- Publication year:
- 2023
- Bibliographic description:
- Kozieł S., Pietrenko-Dąbrowska A., Leifsson L.: Low-Cost Behavioral Modeling of Antennas by Dimensionality Reduction and Domain Confinement// / : , 2023,
- DOI:
- Digital Object Identifier (open in new tab) 10.1007/978-3-031-36024-4_44
- Sources of funding:
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- Free publication
- Verified by:
- Gdańsk University of Technology
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