International Science and Technology Journal

Microstrip antennas have some interesting properties that make them attractive in various applications. Several analytical techniques are used for the analysis of microstrip antennas such as cavity model, generalized transmission line model, and the Fourier-Hankel transform domain, however, there is no efficient design tool that has been incorporated with a suitable optimization algorithm. In this paper, a Neural Network is designed to be used for the synthesis of rectangular microstrip antennas at a given frequency. Due to the high nonlinear behavior of microstrip antennas, the suggested neural network is designed based on experimental data collected from literature and used to find the dimensions of rectangular microstrip antennas at certain resonant frequency, the given results are then compared to simulation results obtained by the commercial electromagnetic simulation tool, the FEM based software, HFSS by ANSOFT.