Microstrip Antenna's Impedance Analysis Using Different ANN Training Algorithms: Comparative Study

Impedance of an antenna largely affects the performance of the system. ANN is trained to provide input impedance of a micro strip patch antenna since the impedance computation mathematically requires lot of parameters and is a rigorous task. Training is done through Bayesian Regularization (BR), Levenberg Mar quart (LM) as well as Scaled Conjugate Gradient (SCG) algorithms and the results are then compared to obtain the best suitable training method. The comparison between the theoretically obtained and the practically obtained value of impedance is carried out and it came out to be in good agreement with each other. To facilitate the antenna design for particular application, the dimensions of a rectangular patch along with the value of dielectric constant is provided as an input to ANN.