FBAR Filter Structural Parameters Optimizing With Deep-Learning Approach

Jia-le An, Ting-ting Liu,Yang Gao

2020 15th Symposium on Piezoelectrcity, Acoustic Waves and Device Applications (SPAWDA)（2021）

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摘要

When using genetic and gradient algorithms in ADS simulation software to design and optimize FBAR filters, it is usually using the scattering parameters of the FBAR filter as the optimization target and to adjust the 12 structural parameters (optimization variables) of the FBAR. However, this method, which is time-consuming, usually requires multiple iterations of optimization variables in a large...

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关键词

FBAR,Deep-learning,1-D CNN,ADS Simulation,Parameter optimization

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