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Globalized Knowledge-Based Simulation-Driven Antenna Miniaturization Using Domain-Confined Surrogates and Dimensionality Reduction
Abstrakt
Design of contemporary antenna systems encounters multifold challenges, one of which is a limited size. Compact antennas are indispensable for the new fields of application such as inter-net of things or 5G/6G mobile communication. Still, miniaturization generally undermines elec-trical and field performance. When attempted through numerical optimization, it turns into a constrained problem with costly constraints requiring electromagnetic (EM) simulations. At the same time, due to parameter redundancy of compact antennas, size reduction poses a multimod-al task. In particular, the achievable miniaturization rate heavily depends on the starting point, while identifying a suitable starting point is a challenge on its own. These issues indicate that miniaturization should be addressed through global optimization methods. Unfortunately, the most popular nature-inspired algorithms cannot be applied for solving size reduction tasks be-cause of their inferior computational efficacy and difficulties in handling constraints. This work proposes a novel methodology for globalized size reduction of antenna structures. Our method-ology is a multi-stage knowledge-based procedure, initialized by detection of the approximate location of the feasible region boundary, followed by a construction of a dimensionali-ty-reduced metamodel, and global optimization thereof; the last stage is miniaturiza-tion-oriented local refinement of geometry parameters. For cost reduction, the first stages of the procedure are realized with the use of low-fidelity EM antenna model. Our approach is verified using four broadband microstrip antennas, and benchmarked against multi-start local search, as well as nature-inspired methods. Superior size reduction rates are demonstrated for all consid-ered cases, while maintaining reasonably low computational costs.
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- Wersja publikacji
- Accepted albo Published Version
- DOI:
- Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.3390/app13148144
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Informacje szczegółowe
- Kategoria:
- Publikacja w czasopiśmie
- Typ:
- artykuły w czasopismach
- Opublikowano w:
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Applied Sciences-Basel
nr 13,
ISSN: 2076-3417 - Język:
- angielski
- Rok wydania:
- 2023
- Opis bibliograficzny:
- Kozieł S., Pietrenko-Dąbrowska A., Gołuński Ł.: Globalized Knowledge-Based Simulation-Driven Antenna Miniaturization Using Domain-Confined Surrogates and Dimensionality Reduction// Applied Sciences-Basel -Vol. 13,iss. 14 (2023), s.8144-
- DOI:
- Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.3390/app13148144
- Źródła finansowania:
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- Publikacja bezkosztowa
- Weryfikacja:
- Politechnika Gdańska
wyświetlono 78 razy