Adaptive Polynomial Chaos Expansion for Uncertainty Quantification of SubTHz Horn Antennas with Flat-Top Radiation Patterns

Aristeides D. Papadopoulos, Yihan Ma, Qi Luo, George C. Alexandropoulos

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

Abstract

Sub-terahertz (subTHz) antennas will play an important role in the next generations of wireless communications. Since the physical antenna size is proportional to the wavelength at its targeted central operation frequency, when comes to the subTHz frequency spectrum, the antenna fabrication tolerance needs to be accurately considered during the design stage. The classic approach to studying the average performance of the design considering fabrication tolerances is through the use of the Monte Carlo (MC) Method. In this paper, we propose an adaptive polynomial chaos expansion (PCE) method for the uncertainty quantification of subTHz horn antennas with flat-top radiation patterns. The proposed method builds a surrogate model of the antenna's response to electromagnetic excitation and estimates its statistical moments with accuracy close to the reference MC method, but with a much smaller computational complexity of roughly two orders of magnitude. This complexity gain claim is supported by the presented numerical experiments.
Original languageEnglish
Title of host publication2024 18th European Conference on Antennas and Propagation (EuCAP)
Place of PublicationGlasgow, United Kingdom
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1-5
Number of pages5
ISBN (Electronic)978-88-31299-09-1
DOIs
Publication statusPublished - 26 Apr 2024
Event18th European Conference on Antennas and Propagation (EuCAP 2024) - Glasgow, United Kingdom
Duration: 17 Mar 202422 Mar 2024
Conference number: 18
https://www.eucap2024.org/

Conference

Conference18th European Conference on Antennas and Propagation (EuCAP 2024)
Abbreviated titleEuCAP 2024
Country/TerritoryUnited Kingdom
CityGlasgow
Period17/03/2422/03/24
Internet address

Keywords

  • Fabrication
  • Wireless communication
  • Uncertainty
  • Horn antennas
  • Adaptive arrays
  • Stochastic processes
  • Polynomials
  • Antenna design
  • polynomial chaos expansion
  • horn
  • THz
  • flat-top pattern
  • uncertainty quantification

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