摘要
针对传统矩量法庞大的求逆运算、超长的计算时间等问题,提出了一种研究电磁散射特性的新思路.该方法首先应用自适应交叉近似算法求解阻抗矩阵,再利用奇异值分解方法进一步压缩此阻抗矩阵,从而加快矩阵运算并节省存储量,数值计算结果表明该方法精确、有效.
In order to solve the problems of large inverse operations and time consumption,a new solution is proposed to analyze the electromagnetic scattering characteristics. Firstly,the adaptive cross approximation( ACA) algorithm is applied to calculate impedance matrix. Then,the singular value decomposition is applied to compress the impedance matrix got from ACA algorithm. The aim is to accelerate matrix calculation and reduce matrix storage. The numerical results illustrate the efficiency and accuracy of the proposed method.
出处
《河南工程学院学报（自然科学版）》
2017年第3期50-52,共3页
Journal of Henan University of Engineering：Natural Science Edition
基金
安徽省高校自然科学研究项目(KJ2016A306)
关键词
自适应交叉近似算法
再压缩技术
雷达散射截面
adaptive cross approximation algorithm
recompressed technique
radar cross section
