Synthesis of Elliptical Patch Micro-strip Antenna using artificial neural network

Abstract

This paper presents a Neural Network model for the design of an Elliptical Patch Micro-strip Antenna (EPMSA) for a desired frequency in L Band. The artificial neural network (ANN) has been trained in such a way that for any desired gain at any desired frequency in L-band it can generate design parameters of EPMSA with great accuracy. In most of the existing ANNs for the synthesis of EPMSA do not include gain at resonant frequency as it is very difficult to achieve accurate result for it. The main benefit of the proposed method lies with the fact that the various parameters required for the design of an EPMSA at a particular frequency and gain of interest can be easily extracted without going into the rigorous time consuming, iterative design procedures using a costly software package.