Numerical Eigenfunction Expansions for Optimizing Arbitrarily-Shaped Patch Antennas Conference

Sendrea, RE, Zekios, CL, Georgakopoulos, SV. (2023). Numerical Eigenfunction Expansions for Optimizing Arbitrarily-Shaped Patch Antennas . 2015 IEEE INTERNATIONAL SYMPOSIUM ON ANTENNAS AND PROPAGATION & USNC/URSI NATIONAL RADIO SCIENCE MEETING, 2023-July 1763-1764. 10.1109/USNC-URSI52151.2023.10237959

cited authors

  • Sendrea, RE; Zekios, CL; Georgakopoulos, SV

authors

abstract

  • In this work, a new approach for generating lowfidelity models for multi-fidelity surrogate optimization methods is examined. Specifically, numerical eigenfunction expansions are used to characterize the solution domain of arbitrarily shaped patch antennas. These numerical eigenfunction expansions are based on analytical eigenfunction expansions. Our results show that the proposed expansions exhibits rapid convergence to errors on the order of 10-2when compared with full-wave simulation results.

publication date

  • January 1, 2023

published in

start page

  • 1763

end page

  • 1764

volume

  • 2023-July