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Cost-Efficient Two-Level Modeling of Microwave Passives Using Feature-Based Surrogates and Domain Confinement
Abstrakt
A variety of surrogate modelling techniques has been utilized in high-frequency design over the last two decades. Yet, the curse of dimensionality still poses a serious challenge in setting up re-liable design-ready surrogates of modern microwave components. The difficulty of the model-ing task is only aggravated by nonlinearity of circuit responses. Consequently, constructing a practically usable surrogate model, valid across extended ranges of material, geometry, and op-erational parameters, is far from easy. As a matter of fact, conventional modeling techniques are merely capable of building models for microwave structures featuring a relatively small num-ber of designable parameters within reduced ranges thereof. One of possible ways of mitigating these obstacles may be the employment of the recently proposed two-stage performance-driven modeling approach. Therein, the surrogate model domain is narrowed-down to the section of the space where the vectors of adequate quality are located, thereby permitting to significantly reduce the cost of acquiring the training data. Seeking even further cost reduction, this work in-troduces a novel modeling framework, which exploits problem-specific knowledge extracted from the circuit responses to achieve substantial cost-savings of training data acquisition. In our methodology, the modeling procedure targets response features instead of the complete re-sponses. The response features are the characteristic locations of the circuit response, such as relevant minima or maxima over selected frequency bands. The dependency of the coordinates of the said features on circuit dimensions is considerably less non-linear than it is observed for the complete characteristics, which enables sizable reduction of the data acquisition cost. Nu-merical validation of our procedure involving three microwave structures corroborates its re-markable efficiency, which allows for setting design-ready surrogates using only a handful of samples.
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Autorzy (3)
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Qi-Jun Zhang
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- Wersja publikacji
- Accepted albo Published Version
- DOI:
- Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.3390/electronics12173560
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Informacje szczegółowe
- Kategoria:
- Publikacja w czasopiśmie
- Typ:
- artykuły w czasopismach
- Opublikowano w:
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Electronics
nr 12,
ISSN: 2079-9292 - Język:
- angielski
- Rok wydania:
- 2023
- Opis bibliograficzny:
- Pietrenko-Dąbrowska A., Kozieł S., Zhang Q.: Cost-Efficient Two-Level Modeling of Microwave Passives Using Feature-Based Surrogates and Domain Confinement// Electronics -Vol. 12,iss. 17 (2023), s.1-20
- DOI:
- Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.3390/electronics12173560
- Źródła finansowania:
-
- Publikacja bezkosztowa
- Weryfikacja:
- Politechnika Gdańska
wyświetlono 70 razy