Reduced-cost modeling of dual-band antennas exploiting response features

In this work, a cost-efficient approach to surrogate modeling of input characteristics of dual-band antennas is presented. Reduction of the number of necessary training samples is achieved by constructing the surrogate at the level of suitably defined characteristic points of the antenna response, which exhibits less nonlinear behavior (as a function of antenna geometry parameters) compared to S-parameters as a function of frequency. Our approach is illustrated using dual-band dipole antenna and favorably compared to conventional modeling using kriging interpolation.