Hierarchical generation of characteristic basis functions combined with singular value decomposition

T. Tanaka, Y. Inasawa, Y. Nishioka, H. Miyashita
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引用次数: 1

Abstract

In this paper, we evaluated the hierarchical generation technique of characteristic basis function combined with singular value decomposition (SVD). This method enables us to analyze a scattering field with a high accuracy with small-scale matrix. By calculating the radar cross section (RCS) of a large conductor cylinder, we evaluated the technique. The solutions of proposed and conventional method correspond well; thus, the effectiveness was verified.
结合奇异值分解的特征基函数分层生成
本文研究了结合奇异值分解(SVD)的特征基函数分层生成技术。该方法使我们能够用小尺度矩阵高精度地分析散射场。通过计算大型导体圆柱体的雷达截面(RCS),对该技术进行了评价。所提方法与常规方法的解吻合较好;从而验证了该方法的有效性。
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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