Paper Title
PARAMETERS OPTIMIZATION OF THE RECTANGULAR MICROSTRIP ANTENNAS BY MEANS OF TAGUCHI METHOD AND LINEAR REGRESSION

Abstract
This study presents a comprehensive exploration of the design, simulation, and parameter’s optimization of a rectangular microstrip antenna utilizing copper for the antenna and RO4003C with dielectric constant of 3.55 and a loss tangent of 0.0021 as substrate material. Leveraging the COMSOL MultiPhysics platform, simulations were conducted with a focus on assessing the antenna's performance parameters, including maximum gain and return losses (S11), for a design frequency of 5 GHz. The Taguchi method and linear regression analysis were employed to systematically investigate the influence of control parameters, specifically the length and width of the patch and substrate thickness, on the antenna's behavior. Simulation results analysis through the Taguchi method for an L9 orthogonal array, shows that the dominant control factors impacting the maximum gain is the length of patch, followed by minimal effect from the width of the patch, and a negligible effect for the thickness of the substrate. The return losses were affected only by the length of the patch with no effect for the other two control parameters. The linear regression analysis further quantified the contribution of each parameter, with 95.67% for the patchlength, 2.74% for the patchwidth, and finally 0.58% for the substratethickness, these results reinforce the robustness of the findings. This study has not only contributed to the advancement of microstrip antenna design but also demonstrated a systematic and comprehensive approach to antenna optimization. The insights gained from both simulation and theoretical analyses pave the way for future enhancements and applications in the realm of electromagnetic and microwave technologies. Keywords - Microstrip antenna, Taguchi analysis, linear regression analysis, optimization