Abstract

In this letter, a computationally feasible technique for dimension scaling of antenna structures is introduced. The proposed methodology is based on inverse surrogate modeling where the geometry parameters of the antenna structure of interest are explicitly related to the operating frequency. The surrogate model is identified based on a few antenna designs optimized for selected reference frequencies. For the sake of computational efficiency, the reference designs are obtained at the level of the coarse-discretization electromagnetic (EM) simulation antenna model. An appropriate correction allows us to elevate the inverse surrogate to the level of the high-fidelity EM model and, thus, utilize it for determining the dimensions of the scaled design. Having the inverse model established, the dimension scaling process requires just a single evaluation of the antenna at a fine discretization (carried out at the correction stage). Our approach is demonstrated using two examples: a dielectric resonator antenna, and an enhanced-bandwidth patch antenna.

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