Surrogate-Model-Aided Optimization of the Bandwidth for a Planar UWB Inverted-F Antenna

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Abstract

A new efficient methodology to speed up the optimization of the bandwidth of antenna designs is proposed in this paper. First, the reflection coefficient S11(f) of the considered antenna is compactly represented by Fourier series. Second, the coefficients of the Fourier series are modeled by using the Least-Angle-Regression-Sampling-based Polynomial Chaos Expansion (LARS-PCE). Lastly, the derived surrogate model serves as an extremely efficient engine which can substitute the time-consuming full-wave simulators for the optima seeking. The proposed methodology has been validated on a planar Ultra-Wideband (UWB) Inverted-F Antenna (IFA), whose impedance bandwidth has been increased by more than 18 % compared to the original design and the computational cost is limited.

Original languageEnglish
Title of host publication2020 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2020 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728157337
DOIs
Publication statusPublished - 20 Sept 2020
Event13th International Conference on Microwave and Millimeter Wave Technology, ICMMT 2020 - Virtual, Shanghai, China
Duration: 20 Sept 202023 Sept 2020

Publication series

Name2020 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2020 - Proceedings

Conference

Conference13th International Conference on Microwave and Millimeter Wave Technology, ICMMT 2020
Country/TerritoryChina
CityVirtual, Shanghai
Period20/09/2023/09/20

Keywords

  • Bandwidth optimization
  • UWB IFA
  • polynomial chaos
  • surrogate model

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