Design and Implementation of Fractal Antenna for Wireless Applications, Analysis using Machine Learning

This paper proposes a wideband fractal antenna with circle and triangle together forming a first order fractal for wireless applications from 1 GHz to 6.5GHz which includes a C-Band., Low power Trans-receiver etc.., with a minimum return loss of -55.6658dB obtained at 2.5675GHz frequency., using line feed technique and a gain of 4.1dB. The antenna has partial ground structure and FR4 Epoxy is used as substrate material. The fractal designed resonates 4 times. Machine Learning is introduced for the analysis of antenna and it is observed that quadratic linear regression has obtained a good correlation coefficient of 0.124.