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Rapid design closure of microwave components by means of feature‐based optimization and adjoint sensitivities
Author(s) -
Koziel Slawomir,
Bekasiewicz Adrian
Publication year - 2018
Publication title -
international journal of rf and microwave computer‐aided engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.335
H-Index - 39
eISSN - 1099-047X
pISSN - 1096-4290
DOI - 10.1002/mmce.21182
Subject(s) - microwave , computer science , filter (signal processing) , microstrip , waveguide , sensitivity (control systems) , closure (psychology) , feature (linguistics) , mathematical optimization , process (computing) , algorithm , electronic engineering , mathematics , physics , telecommunications , engineering , optics , economics , market economy , linguistics , philosophy , computer vision , operating system
In this article, fast design closure of microwave components using feature‐based optimization (FBO) and adjoint sensitivities is discussed. FBO is one of the most recent optimization techniques that exploits a particular structure of the system response to “flatten” the functional landscape handled during the optimization process, which leads to reducing its computational complexity. When combined with gradient‐based search involving adjoint sensitivities, the design cost becomes even lower, allowing us to find the optimum design using just a few electromagnetic (EM) simulations of the structure at hand. Here, operation and performance of the algorithm is demonstrated using a waveguide filter and a miniaturized microstrip rat‐race coupler (RRC). Comparative studies indicate considerable savings that can be achieved even compared with adjoint‐based gradient search. In case of RRC, numerical results are supported by experimental validation.