Surrogate-based design and tuning methods for RF/microwave devices

Yang Yu, Zhen Zhang, Qingsha S. Cheng, Bo Liu, Yi Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publication2022 IEEE/MTT-S International Microwave Symposium - IMS 2022
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages111-114
Number of pages4
ISBN (Electronic)9781665496131
ISBN (Print)9781665496148 (PoD)
DOIs
Publication statusPublished - 29 Aug 2022
Event2022 IEEE/MTT-S International Microwave Symposium, IMS 2022 - Denver, United States
Duration: 19 Jun 202224 Jun 2022

Publication series

NameIEEE MTT-S International Microwave Symposium Digest
ISSN (Print)0149-645X
ISSN (Electronic)2576-7216

Conference

Conference2022 IEEE/MTT-S International Microwave Symposium, IMS 2022
Country/TerritoryUnited States
CityDenver
Period19/06/2224/06/22

Bibliographical note

Funding Information:
ACKNOWLEDGEMENT This work is partially supported by the National Natural Science Foundation of China Grant 62071211 and the University Key Research Project of Guangdong Province under Grant 2018KZDXM063.

Publisher Copyright:
© 2022 IEEE.

Keywords

  • knowledge-based surrogate modeling
  • optimization methods
  • sampling methods
  • space mapping

ASJC Scopus subject areas

  • Radiation
  • Condensed Matter Physics
  • Electrical and Electronic Engineering

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