STOER-BULIRSCH ADAPTIVE FREQUENCY SAMPLING METHOD FOR EFFICIENT ANALYSIS OF FREQUENCY SELECTIVE SURFACES

摘要

In this article, a Stoer-Bulirsch adaptive frequency sampling method is proposed in conjunction with the method of moments to analyze the broadband electromagnetic wave scattering from frequency selective surfaces. On comparing with other sampling methods, the Stoer-Bulirsch algorithm is a recursive tabular method and requires no matrix inversion. Therefore, it can obtain a rational interpolation function without suffering from singularity problems. Furthermore, since final results are obtained by interpolating with the adaptive frequency sampling method, no more information is needed except the sampled frequency and its true value. Hence, it can be widely used in most of the electromagnetic simulations. Numerical results show that our proposed sampling strategy performs well in terms of both simulation time and computation accuracy.