宽带RCS的特征基函数解法

Mingyuan Zhang, Qin Zheng, Yufa Sun, Zhonggen Wang, Guohua Wang, Chenlu Li
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引用次数: 3

摘要

提出了一种基于特征基函数法的宽带雷达截面(RCS)计算方法。该方法采用奇异值分解(SVD)方法,从最高频率点和最低频率点的特征基函数(cbf)得到改进的超宽特征基函数(IUCBFs)。IUCBFs可以在每个频率上重复使用,因此可以快速解决所需频段上的电磁散射问题。最后,应用自适应交叉逼近(ACA)算法加速了约简矩阵构造过程中阻抗矩阵的输入计算和矩阵向量的乘法运算。与传统的超宽特征基函数方法(UCBFM)相比,该方法的精度和效率得到了显著提高。数值结果表明,该方法是准确、有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Solutions of broadband RCS using the characteristic basis function method
A broadband radar cross section (RCS) calculation approach is proposed based on the characteristic basis function method (CBFM). In the proposed approach, the improved ultra-wide characteristic basis functions (IUCBFs) are derived from characteristic basis functions (CBFs) at the highest frequency point and the lowest frequency point by applying a singular value decomposition (SVD) procedure. The IUCBFs can be reused for each frequency, so the electromagnetic scattering problem on the desired frequency band can be solved fast. Finally the adaptive cross approximation (ACA) algorithm is applied to accelerate the impedance matrix entry computation as well as matrix vector multiplication in the construction process of reduced matrix. The accuracy and efficiency are improved significantly compared with the traditional ultra-wide characteristic basis function method (UCBFM). Numerical results demonstrate that the proposed method is accurate and efficient.
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