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Abstract
In this paper, a novel methodology for cost-efficient microwave design optimization in the frequency domain is proposed. Our technique, referred to as adaptive response scaling (ARS), has been developed for constructing a fast replacement model (surrogate) of the high-fidelity electromagnetic-simulated model of the microwave structure under design using its equivalent circuit (low-fidelity model). The basic principle of ARS is a nonlinear frequency and amplitude response scaling aimed at accommodating the discrepancies between the low- and high-fidelity models at the reference design and, subsequently, at tracking the low-fidelity model changes that occur during the optimization run. The surrogate model prediction is obtained by applying appropriately composed scaling functions to the high-fidelity model at the reference design. ARS is a parameterless and simple-to-implement method that can be applied to a wide range of microwave structures. The ARS surrogate features excellent generalization capability that translates into improved reliability and reduced design cost. It is demonstrated using an eighth-order microstrip bandpass filter and a miniaturized rat-race coupler. Comparison with several space mapping algorithms is provided. The numerical results are supplemented by measurements of the fabricated optimum designs of the considered structures.
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Authors (2)
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Adrian Bekasiewicz
- Reykjavik University School of Science and Engineering
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Details
- Category:
- Articles
- Type:
- artykuł w czasopiśmie wyróżnionym w JCR
- Published in:
-
IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES
no. 64,
edition 9,
pages 2749 - 2757,
ISSN: 0018-9480 - Language:
- English
- Publication year:
- 2016
- Bibliographic description:
- Kozieł S., Bekasiewicz A.: Rapid Microwave Design Optimization in Frequency Domain Using Adaptive Response Scaling// IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES. -Vol. 64, iss. 9 (2016), s.2749-2757
- DOI:
- Digital Object Identifier (open in new tab) 10.1109/tmtt.2016.2590551
- Verified by:
- Gdańsk University of Technology
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