A Surrogate Modeling Space Definition Method for Efficient Filter Yield Optimization

Zhen Zhang1; Bo Liu2; Yang Yu3; Muhammad Imran2; Qingsha S. Cheng4; Ming Yu4

2023

10.1109/LMWT.2023.3243524

IEEE Microwave and Wireless Technology Letters   Impact Factor & Quartile

2771-957X

2771-9588

Surrogate models are widely used in filter yield optimization methods to improve efficiency, which can be divided into online and offline. State-of-the-art offline surrogate model-based filter yield optimization methods are shown to be effective for filter cases with more than ten sensitive design variables. In these methods, a keystone is the appropriate definition of the space for building the surrogate model, deciding success/failure, or at least the efficiency of the yield optimization. However, there is a lack of systematic methods to achieve it. To address this challenge, a new method, called pattern search optimization-based surrogate modeling space definition method (PSOMSD), is proposed. The performance of PSOMSD is demonstrated by a real-world filter case with 14 sensitive design variables. Analysis shows the appropriateness of the defined surrogate modeling space and advantages compared to empirical methods.

Microwave filter optimization domain surrogate modeling domain yield optimization

SCI

English

Others

Scotland 5G Testbed Project[308106]

Engineering

Engineering, Electrical & Electronic

WOS:000940182400001

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

IEEE

1.School of Electronics and Communication Engineering, Guangzhou University, Guangzhou, China
2.James Watt School of Engineering, University of Glasgow, Glasgow, U.K.
3.National Space Science Center, Key Laboratory of Microwave Remote Sensing, Chinese Academy of Sciences, Beijing, China
4.Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, China

Zhen Zhang,Bo Liu,Yang Yu,et al. A Surrogate Modeling Space Definition Method for Efficient Filter Yield Optimization[J]. IEEE Microwave and Wireless Technology Letters,2023,PP(99):1-4.

Zhen Zhang,Bo Liu,Yang Yu,Muhammad Imran,Qingsha S. Cheng,&Ming Yu.(2023).A Surrogate Modeling Space Definition Method for Efficient Filter Yield Optimization.IEEE Microwave and Wireless Technology Letters,PP(99),1-4.

Zhen Zhang,et al."A Surrogate Modeling Space Definition Method for Efficient Filter Yield Optimization".IEEE Microwave and Wireless Technology Letters PP.99(2023):1-4.