An Adaptive Frequency Sampling Method for Frequency Selective Surface design Exploiting Steor-Bulirsch Algorithm

In this paper, the adaptive frequency sampling (AFS) method with Steor-Bulirsch (SB) algorithm is proposed in conjunction with the method of moments (MOM) to calculate the broadband electromagnetic scattering performance of the frequency selective surface (FSS). Comparing with other sampling methods, the Store-Bulirsch algorithm is a recursive tabular method and requires no matrix inversion, so it can obtain a rational interpolation function without suffering from singularity problems. Furthermore, since we use the AFS strategy to interpolate the final results, no more information is needed except the sampled frequency f and its true value, so it can be widely used in most of the electromagnetic (EM) simulation. Numerical results show that our sampling strategy has a good performance in both CPU time saving and computation accuracy.