APPLICATION OF ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM TECHNIQUE IN DESIGN OF RECTANGULAR MICROSTRIP PATCH ANTENNAS

Abstract

The  recent explosion  in  information  technology  and wireless  communications has created  many  opportunities  for  enhancing  the  performance  of  existing  signal transmission  and  processing  systems  and  has  provided  a  strong  motivation  for developing  novel  devices  and  systems.  An  indispensable  element  of  any  wireless communication  system  is  the  antenna.  microstrip  patch  antenna  (MPA)  is  well suited  for  wireless  communication  due  to  its  light  weight,  low  volume  and  low profile planar configuration which can be easily conformed to the host surface. In this paper, an adaptive neuro‐fuzzy inference systems (ANFIS) technique is used in design of MPA. This artificial Intelligence (AI) technique is used in determining the parameters used in the design of a rectangular microstrip patch antenna. The ANFIS has  the  advantages  of  expert  knowledge  of  fuzzy  inference  system  (FIS)  and  the learning  capability  of  artificial  neural network  (ANN).  By  determining  the  patch dimensions  and  the  feed  point  of  a  rectangular  microstrip  antenna,  this  paper shows that ANFIS produces good results that are in agreement with Antenna Magus simulation results.