Low-Cost Antenna Optimization by Means of Gradient Search and Principal Components

Jon Atli Tomasson, Slawomir Koziel, Anna Pietrenko-Dabrowska, Qingsha S. Cheng

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The paper discusses low-cost design closure of antenna structures. Our approach exploits trust-region (TR) gradient search with antenna response gradients updated by a sparse application of finite differentiation, limited to the principal components of the Jacobian matrix. Numerical results demonstrate superiority of the method over benchmark procedures: sixty percent savings are achieved compared to the reference algorithm without compromising the design quality.

Original languageEnglish
Title of host publication2021 International Applied Computational Electromagnetics Society Symposium, ACES-China 2021, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781733509619
DOIs
Publication statusPublished - 28 Jul 2021
Event4th International Applied Computational Electromagnetics Society Symposium in China, ACES-China 2021 - Chengdu, China
Duration: 28 Jul 202131 Jul 2021

Publication series

Name2021 International Applied Computational Electromagnetics Society Symposium, ACES-China 2021, Proceedings

Conference

Conference4th International Applied Computational Electromagnetics Society Symposium in China, ACES-China 2021
Country/TerritoryChina
CityChengdu
Period28/07/2131/07/21

Bibliographical note

Funding Information:
the National Natural Science Foundation of China Grant 61471258.

Publisher Copyright:
© 2021 Applied Computational Electromagnetics Society (ACES).

Other keywords

  • Antenna design
  • design closure
  • EM-driven design
  • gradient-based optimization
  • principal components

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