A new sampling algorithm used in multilevel UV factorization method for scattering from random rough surface

Zherui Yu, Haogang Wang, Jiancheng Shi, L. He
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Abstract

In this paper, we propose a new sampling algorithm combined with multilevel UV(MLUV) factorization method to calculate the scattering from Gaussian random rough surface with exponential correlation function. The new sampling algorithm is based on the steepness of patch pairs which support the basis functions. The numerical analyses in this paper show that the proposed algorithm significantly improves the accuracy of the UV approximation of matrix ZK.
一种新的采样算法用于随机粗糙表面散射的多级UV分解方法
本文提出了一种结合多级UV(multi - level UV, MLUV)分解的采样算法,用于计算高斯随机粗糙表面的指数相关函数散射。新的采样算法基于支持基函数的patch对的陡峭度。数值分析表明,该算法显著提高了矩阵ZK的UV逼近精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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