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).
Authors
Additional information
- DOI
- Digital Object Identifier link open in new tab 10.1002/mmce.20847
- Category
- Publikacja w czasopiśmie
- Type
- artykuł w czasopiśmie wyróżnionym w JCR
- Language
- angielski
- Publication year
- 2015
