Expedited geometry scaling of antenna structures by means of inverse surrogate modeling

Abstract

In this work, we propose a computationally efficient procedure for dimension scaling of antenna structures. The fundamental component of our methodology is an inverse surrogate model that relates geometry parameters of the antenna structure of interest to its operating frequency. The surrogate is constructed using several antenna designs obtained at the level of the coarse-discretization EM simulation model. Upon correction, the inverse model is utilized to identify dimensions of the scaled design at the high-fidelity (EM-simulation) model level. Owing to good correlations between the EM simulations of various fidelities, the scaled design can be found using only one high-fidelity EM simulation of the structure at hand. The scaling algorithm is demonstrated using an example of a dielectric resonator antenna.