Surrogate-based Design and Tuning Methods for RF/Microwave Devices

被引:4
作者
Yu, Yang [1 ,2 ]
Zhang, Zhen [1 ]
Cheng, Oingsha S. [1 ]
Liu, Bo [3 ]
Wang, Yi [2 ]
机构
[1] Southern Univ Sci & Technol, Dept Elect & Elect Engn, Shenzhen, Peoples R China
[2] Univ Birmingham, Birmingham, England
[3] Univ Glasgow, Glasgow, Scotland
来源
2022 IEEE/MTT-S INTERNATIONAL MICROWAVE SYMPOSIUM (IMS 2022) | 2022年
基金
中国国家自然科学基金;
关键词
sampling methods; knowledge-based surrogate modeling; optimization methods; space mapping; OPTIMIZATION;
D O I
10.1109/IMS37962.2022.9865421
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
RF/Microwave devices are mission-critical components for communication systems. Using three-dimensional full-wave electromagnetic (EM) simulators to design those devices is considered a must for most microwave/RF engineers today. Since today's desktop workstations outperform supercomputers of years ago, widely available commercial EM simulators solve those practical problems on low-cost desktop computers. At the same time, the communication industry faces increasing design challenges in function and frequency integration, miniaturization, and multiple tight performance requirements for microwave/RF components. This contributes to extreme time costs in EM-based design. The key to efficient design is surrogate-based approaches for now and future. In this paper, recent advances in surrogate related techniques including sampling, modelling, and optimization are reviewed with applications in complex microwave/RF structure design, post-production tuning, and yield design. The focus of these methods is to achieve fast design/tuning/modelling without sacrificing accuracy.
引用
收藏
页码:111 / 114
页数:4
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