Estimation of Frequency Band of Microstrip Antenna (MSA) with Radial Basis Function (RBF)

This article explains the application of artificial neural network for the judgment of bandwidth of microstrip antenna. The algorithms of radial basis function (RBF) are used to make the neural network model. The training and testing data of the neural network are procured by analyzing the microstrip patch antenna by IE3D software. The results procured from ANN are tallied with IE3D and are quite reasonable. The operating frequency range of the antenna varies from 1.879 to 2.896 GHz. The results acquired from IE3D and those acquired from ANN are highly correlated.