Modeling and Design of Anisotropic Circular Microstrip Patch Antenna Using Neurospectral Computation Approach

in this paper, we propose a general design of circular microstrip antenna printed on isotropic or anisotropic substrate, based on artificial neural networks (ANN) in conjunction with spectral domain formulation. In the design procedure, synthesis ANN model is used as feed forward network to determine the resonant characteristics. Analysis ANN model is used as the reversed of the problem to calculate the antenna dimension for the given resonant frequency, dielectric constant, and height of substrate. The effective parameters were combined with artificial neural network in the analysis and the design of circular antenna to reduce the complexity of the spectral approach and to minimize the CPU time necessary to obtain the numerical results. The results obtained from the neural models are in very good agreement with the experimental results available in the literature. Finally, numerical results of the anisotropy substrate effect on the resonant characteristics are also presented. Keywords—Circular Microstrip Antenna (CMSA), Artificial Neural Network (ANN), design and modeling, spectral domain approach, uniaxial anisotropy substrate.