Fast tolerance-aware design optimization of miniaturized microstrip couplers using variable-fidelity EM simulations and re-sponse features - Publication - MOST Wiedzy

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Fast tolerance-aware design optimization of miniaturized microstrip couplers using variable-fidelity EM simulations and re-sponse features

Abstract

Manufacturing tolerances and other types of uncertainties may considerably affect operation and performance of microwave components and systems. Quantification of these effects is therefore an important part of the design process. It is even more important to obtain designs whose sensitivity to parameter deviations is reduced as much as possible. All of these require statistical analysis carried out at the level of electromagnetic (EM) simulation models, which may be prohibitively expensive when executed directly, e.g., through Monte Carlo simulations. In this work, a technique for fast yield optimization of compact microstrip couplers is proposed. Our methodology involves variable-fidelity EM models, local surrogates constructed using a response feature approach, as well as a sequential approximation optimization framework. A combination of these tools permits yield optimization at a remarkably low cost corresponding to less than a dozen of high-fidelity EM analyses of the circuit under design. The proposed approach is demonstrated using a miniaturized equal-split rat-rate coupler operating at 1 GHz. Reliability of results is validated using direct (high-fidelity) Monte Carlo simulations of the initial and optimized designs.

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Details

Category:
Articles
Type:
artykuł w czasopiśmie wyróżnionym w JCR
Published in:
ENGINEERING COMPUTATIONS pages 1 - 13,
ISSN: 0264-4401
Language:
English
Publication year:
2019
Bibliographic description:
Kozieł S., Bekasiewicz A.: Fast tolerance-aware design optimization of miniaturized microstrip couplers using variable-fidelity EM simulations and re-sponse features// ENGINEERING COMPUTATIONS. -, (2019), s.1-13
DOI:
Digital Object Identifier (open in new tab) 10.1108/ec-01-2019-0029
Verified by:
Gdańsk University of Technology

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