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- W3128332380 abstract "This paper proposes a novel technique for efficient yield optimization of microwave circuits. One of the major challenges in yield optimization for microwave circuits is the computationally expensive EM simulation in yield estimation. To overcome this difficulty, a surrogate model with linear input space mapping is exploited in the proposed technique to avoid the expense of fine model simulations. The surrogate model is constructed with a coarse model and a mapping function, which is updated in each optimization iteration. Parallel data generation technique is used to speed up the fine model evaluation in yield estimation via Monte Carlo analysis during yield optimization. A low-pass microstrip filter example is performed to demonstrate the efficiency of the proposed technique." @default.
- W3128332380 created "2021-02-15" @default.
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- W3128332380 date "2020-12-07" @default.
- W3128332380 modified "2023-10-18" @default.
- W3128332380 title "Efficient Yield Optimization of Microwave Circuits Using Space Mapping Surrogates and Parallel Data Generation" @default.
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- W3128332380 doi "https://doi.org/10.1109/nemo49486.2020.9343383" @default.
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