Adaptive numerical integration algorithms for the evaluation of surface radiation integrals

In this paper we propose an adaptive integration algorithm, based on asymptotic high-frequency concepts, for the numerical evaluation of surface radiation integrals. It is shown that the numerical evaluation of radiation integrals becomes computationally more efficient by introducing an adaptive sampling. By this approach the number of sampling points is found to be drastically smaller than that resulting from a standard Nyquist sampling rate.