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Reliable Multi-Stage Optimization of Antennas for Multiple Performance Figures in Highly-Dimensional Parameter Spaces
Abstract
Design of modern antenna structures needs to account for multiple performance figures and geometrical constraints. Fulfillment of these calls for the development of complex topologies described by a large number of parameters. EM-driven tuning of such designs is mandatory yet immensely challenging. In this letter, a new framework for multi-stage design optimization of multi-dimensional antennas with respect to several performance criteria is proposed. The approach is founded on the idea of identifying a feasible region of the search space through a series of local optimization runs with appropriate handling of individual objectives and design constraints. To facilitate local optimization, a procedure for finding a good starting point is proposed which involves sensitivity-based reduction of the problem dimensionality. For computational efficiency, the proposed design procedure is aided by surrogate modeling techniques. The proposed framework is demonstrated using a dual-band antenna with the enhanced gain. Our methodology is compared to alternative design approaches. The numerical results are validated experimentally.
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Details
- Category:
- Articles
- Type:
- artykuł w czasopiśmie wyróżnionym w JCR
- Published in:
-
IEEE Antennas and Wireless Propagation Letters
no. 18,
pages 1522 - 1526,
ISSN: 1536-1225 - Language:
- English
- Publication year:
- 2019
- Bibliographic description:
- Bekasiewicz A., Kozieł S.: Reliable Multi-Stage Optimization of Antennas for Multiple Performance Figures in Highly-Dimensional Parameter Spaces// IEEE Antennas and Wireless Propagation Letters. -Vol. 18, iss. 7 (2019), s.1522-1526
- DOI:
- Digital Object Identifier (open in new tab) 10.1109/lawp.2019.2921610
- Verified by:
- Gdańsk University of Technology
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