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.
G., C., Albani, M. (2011). Adaptive numerical integration algorithms for the evaluation of surface radiation integrals. In Proceedings of the 5th European Conference on Antennas and Propagation, EUCAP 2011 (pp.2275-2278).
Adaptive numerical integration algorithms for the evaluation of surface radiation integrals
ALBANI, MATTEO
2011-01-01
Abstract
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.
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https://hdl.handle.net/11365/43927
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