Optimized Design and Analysis of Microstrip Antenna using Artificial Neural Network

An Antenna is a device made of conducting material which transmits and receives electromagnetic signals. Antennas are widely used as device for transmission of signals. Microstrip antennas are gaining more importance due to their small and compact size, and wide band which yields in the reduction of material and applications are in cell phones, aircraft and satellite communications. In this paper a microstrip antenna with rectangular patch configuration is modeled with metal mounted over a large metal ground plane Its reduced size results in narrow bandwidth and the patch dimension parameter optimized. The optimization methods include cavity model, CST, and TL. In this paper, to reduce the percentage of error and to increase the efficiency of design, a model based on artificial neural network (ANN) is simulated and compared the results.