Optimization of superconducting antenna arrays using RBF neural network

O. Barkat, A. Benghalia
2010 International Journal for Simulation and Multidisciplinary Design Optimization  
In this work, RBF neural network is used to optimize the radiation pattern of non-uniform linear arrays of High superconducting rectangular microstrip antennas, on uniaxial anisotropic substrate. Using superconductors can reduce the insertion loss, and obtain a rather high gain. The full-wave method is used to computing the resonant frequency, and radiation pattern of superconducting rectangular antennas. Galerkin method is used in the resolution of the electric field integral equation. The
more » ... l equation. The radial basis function neural network is able to obtain feasible solutions, for the array by matching the desired D i and actual array patterns F i . The results obtained from the simulation show that we reached our goals by a great degree of validity.
doi:10.1051/ijsmdo/2010002 fatcat:44xidzpkvfbhfbawvpu6edurzy