Abstract
A simple and robust algorithm for computationally efficient design optimiza-tion of microwave filters is presented. Our approach exploits a trust-region (TR)-based algorithm that utilizes linear approximation of the filter response obtained using adjoint sensitivity. The algorithm is sequentially executed on a family of electromagnetic (EM)-simulated models of different fidelities, starting from a coarse-discretization one, and ending at the original, high-fidelity filter model to be optimized. Switching between the models is determined using suitably defined convergence criteria. This arrangement allows for sub-stantial cost reduction of the initial stages of the optimization process without compromising the accuracy and resolution of the final design. The performance of our technique is illus-trated through the design of a fifth-order waveguide filter and a coupled iris waveguide fil-ter. We also demonstrate that the multi-fidelity approach allows for considerable computational savings compared to TR-based optimization of the high-fidelity EM model (also utilizing adjoint sensitivity).
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- Category:
- Articles
- Type:
- artykuł w czasopiśmie wyróżnionym w JCR
- Published in:
-
INTERNATIONAL JOURNAL OF RF AND MICROWAVE COMPUTER-AIDED ENGINEERING
no. 25,
edition 2,
pages 178 - 183,
ISSN: 1096-4290 - Language:
- English
- Publication year:
- 2015
- Bibliographic description:
- Bekasiewicz A., Kozieł S.: Efficient Multi-Fidelity Design Optimization of Microwave Filters Using Adjoint Sensitivity// INTERNATIONAL JOURNAL OF RF AND MICROWAVE COMPUTER-AIDED ENGINEERING. -Vol. 25, iss. 2 (2015), s.178-183
- DOI:
- Digital Object Identifier (open in new tab) 10.1002/mmce.20847
- Verified by:
- Gdańsk University of Technology
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