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Reliable low-cost surrogate modeling and design optimisation of antennas using implicit space mapping with substrate segmentation
Abstract
Abstract: In this work, a reliable methodology for fast simulation-driven design optimisation of antenna structures is proposed. The authors’ approach exploits implicit space mapping (ISM) technology. To adopt it for handling antenna structures, they introduce substrate segmentation with separate dielectric permittivity value assigned for each segment as ISM preassigned parameters. At the same time, the coarse model for space mapping is established by reducing discretisation level of the EM analysis of the antenna structure at hand. Further, the proposed approach is generalised to permit execution of ISM in case of dielectric resonator antennas (DRAs), which is realised by segmentation of the DR and appropriate assignment of permittivity values. The discussed methodology is demonstrated through optimisation of a bandwidth-enhanced patch antenna and a triangular DRA. Comparison with state-of-the-art surrogate-assisted design methods, here, frequency and output space mapping, as well as conventional optimisation using pattern search, is also provided.
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- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.1049/iet-map.2017.0382
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- Category:
- Articles
- Type:
- artykuł w czasopiśmie wyróżnionym w JCR
- Published in:
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IET Microwaves Antennas & Propagation
no. 11,
edition 14,
pages 2066 - 2070,
ISSN: 1751-8725 - Language:
- English
- Publication year:
- 2017
- Bibliographic description:
- Kozieł S., Bekasiewicz A.: Reliable low-cost surrogate modeling and design optimisation of antennas using implicit space mapping with substrate segmentation// IET Microwaves Antennas & Propagation. -Vol. 11, iss. 14 (2017), s.2066-2070
- DOI:
- Digital Object Identifier (open in new tab) 10.1049/iet-map.2017.0382
- Verified by:
- Gdańsk University of Technology
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