Space mapping optimization of microwave circuits exploiting surrogate models
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Data
2000-12Autor
Bakr, Mohamed H.
Bandler, John W.
Rayas-Sánchez, José E.
Søndergaard, Jacob
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Apowerful new space-mapping (SM) optimization algorithm is presented in this paper. It draws upon recent developments in both surrogate model-based optimization and modeling of microwave devices. SM optimization is formulated as a general optimization problem of a surrogate model. This model is a convex combination of a mapped coarse model and a linearized fine model. It exploits, in a novel way, a linear frequency-sensitive mapping. During the optimization iterates, the coarse and fine models are simulated at different sets of frequencies. This approach is shown to be especially powerful if a significant response shift exists. The algorithm is illustrated through the design of a capacitively loaded 10 : 1 impedance transformer and a double-folded stub filter. A high-temperature superconducting filter is also designed using decoupled frequency and SMs.Bandler Corporation
Consejo Nacional de Ciencia y Tecnología
Micronet Network of Centres of Excellence
Natural Sciences and Engineering Research Council of Canada
Ontario Graduate Scholarship
Technical University of Denmark