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Variable-fidelity response feature surrogates for accelerated statistical analysis and yield estimation of compact microwave components
Abstrakt
Accounting for manufacturing tolerances is an essential part of a reliable microwave design process. Yet, quantification of geometry and/or material parameter uncertainties is challenging at the level of full-wave electromagnetic (EM) simulation models. This is due to inherently high cost of EM analysis and massive simulations necessary to conduct the statistical analysis. Here, a low-cost and accurate yield estimation procedure for compact microwave couplers is proposed. Authors’ technique involves variable-fidelity electromagnetic (EM) simulation models, as well as fast surrogates constructed using a response feature approach. In order to improve the computational efficiency of the analysis, the primary surrogate is obtained from the characteristic points of the low-fidelity model and, subsequently, corrected using a single evaluation of the high-fidelity model. Combination of both methods results in an extremely low cost of yield estimation being just a few high-fidelity EM analyses. For the sake of demonstration, a compact hybrid rat-race coupler operating at 1 GHz is considered. Yield estimation is carried out under several scenarios concerning various probability distributions of the geometry parameter deviations. Reliability of the approach is verified by comparing the results with direct Monte–Carlo analysis and single-fidelity feature-based yield estimation.
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- Accepted albo Published Version
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- Kategoria:
- Publikacja w czasopiśmie
- Typ:
- artykuły w czasopismach
- Opublikowano w:
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IET Microwaves Antennas & Propagation
nr 13,
strony 2539 - 2543,
ISSN: 1751-8725 - Język:
- angielski
- Rok wydania:
- 2019
- Opis bibliograficzny:
- Kozieł S., Bekasiewicz A.: Variable-fidelity response feature surrogates for accelerated statistical analysis and yield estimation of compact microwave components// IET Microwaves Antennas & Propagation -Vol. 13,iss. 14 (2019), s.2539-2543
- DOI:
- Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.1049/iet-map.2019.0065
- Weryfikacja:
- Politechnika Gdańska
wyświetlono 129 razy