Surrogate-based computational analysis and design for H-shaped microstrip antenna

Abstract

ABSTRACT A conceptual Kriging surrogate model (KSM) for the computational analysis and design of H-shaped microstrip antennas (HMAs) is proposed in this study. A dataset contains 216 simulated HMAs with different physical/electrical parameters of the HMAs and the respective resonant frequency (RF) values are employed in construction and test processes of the KSM. The performance of the KSM is tested and verified through 20 and 13 HMAs by an extensive comparison with the state-of-the-art models. The results illustrate that KSM computes the most accurate RF values of 20 and 13 HMAs with absolute percent error (APE) of 0.48% and 0.76%, respectively. Moreover, a miniaturized HMA is optimally designed through the KSM as 27% smaller than the smallest design in the dataset for operating at about 2.40 GHz. Therefore, the performance of the proposed method is validated by means of the fabrication of the miniaturized HMA.