Geometry scaling of dual-band antennas through inverse surrogate models

Abstract

Fast scaling of geometry parameters that allows finding the structure dimensions for various operating frequencies is important to expedite the antenna design process. In this paper, we address the scaling problem for dual-band antennas so that optimum dimensions ensuring that the antenna operates at the two frequencies of choice can be obtained at minimum cost. Our approach exploits inverse surrogate models where geometry parameters of the structure are represented through design surfaces. The latter are identified by using a set of reference designs obtained for coarse-mesh electromagnetic (EM) simulation models and further corrected to be applicable at the high-fidelity EM model level. The proposed method is demonstrated using a dual-band planar antenna example.