Fast redesign and geometry scaling of multiband antennas using inverse surrogate modeling techniques

Abstract

AbstractRedesign of antenna structures for various operating conditions or substrate parameters is a practically important problem in antenna engineering. At the same time, it is challenging because finding an optimum set of geometry parameters for a specified operating/material conditions requires going through an entire design optimization process. The problem is even more challenging for multiband antennas where 2 or more bands need to be independently controlled and the joint influence of some of antenna dimensions on several bands has to be taken into account. In this work, we propose a simple technique for rapid dimension scaling of multiband antennas, which uses inverse surrogate modeling techniques. The inverse surrogate model constructed using a set of reference designs optimized for several values of operating frequencies allows us to predict optimum dimensions of the antenna structure of interest corresponding to a required set of operating frequencies. The model is constructed at the level of coarse‐discretization electromagnetic simulations; therefore, it undergoes enhancement so as to be reliably used to redesign the antenna at the level of its high‐fidelity electromagnetic model. A correction procedure is further applied to accommodate the initial scaling errors. Our approach is demonstrated using a triple‐band uniplanar dipole antenna.