Optimization of Hexa-band PIFA using Artificial Neuro-Fuzzy Inference System based CAD Model

Abstract

In this paper, optimization of hexa-band planar inverted f-antenna is carried out using artificial neuro-fuzzy inference system. The geometrical parameters of the antenna under consideration were given as input to the proposed CAD model while the return loss characteristics were obtained as output. A comparison of the output of the proposed CAD model and that of commercially available full wave solver was carried out. Based on the comparison, it was found that the results resembles closely. Results provided by the proposed CAD model were accurate and required less computation time and computational resources once trained properly.