[1]张朝柱,梁靓.导体目标雷达散射截面的ACA-SVD快速算法研究[J].应用科技,2017,44(06):5-9.[doi:10.11991/yykj.201609012]
 ZHANG Chaozhu,LIANG Jing.Research on ACA-SVD fast algorithm of the RCS of conducting targets[J].Applied science and technology,2017,44(06):5-9.[doi:10.11991/yykj.201609012]
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导体目标雷达散射截面的ACA-SVD快速算法研究(/HTML)
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《应用科技》[ISSN:1009-671X/CN:23-1191/U]

卷:
第44卷
期数:
2017年06期
页码:
5-9
栏目:
现代电子技术
出版日期:
2017-12-05

文章信息/Info

Title:
Research on ACA-SVD fast algorithm of the RCS of conducting targets
作者:
张朝柱 梁靓
哈尔滨工程大学 信息与通信工程学院, 黑龙江 哈尔滨 150001
Author(s):
ZHANG Chaozhu LIANG Jing
College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China
关键词:
自适应交叉近似近场预处理积分方程矩量法奇异值分解雷达散射截面电大尺寸低秩压缩
Keywords:
adaptive cross approximation(ACA)near field preconditioningintegral equationmethod of moment (MOM)adaptive cross approximation-singular value decomposition (ACA-SVD)radar cross section (RCS)large targetcompressed forms of low rank
分类号:
TN011
DOI:
10.11991/yykj.201609012
文献标志码:
A
摘要:
采用传统矩量法(MOM)求解电大尺寸物体时计算机资源消耗大,运算速度慢。为降低求解该类问题对于计算机硬件的需求,提高运行速度,应用自适应交叉近似(ACA)算法对阻抗矩阵的远场组元素进行低秩压缩,然后通过奇异值分解对得到的缩减矩阵进一步压缩以实现减少矩阵存储并加速矩阵向量乘运算。对于近场组元素,采用精确矩量法结合近场预处理技术,实现对雷达散射截面的快速计算。该算法在计算理想导体的双站RCS时结果与Mie级数结果吻合良好;算例证明:在计算精度相同的前提下,相比于传统矩量法,ACA和ACA-SVD算法的引入,分别可以减少59.25%和78.10%的存储空间,从而可以加速矩阵向量乘的计算。
Abstract:
Method of moment (MOM) consumes large computer resource when calculating large target, which limits its applications. To reduce the hardware requirements of computers and further increase the computation speed, the adaptive cross approximation (ACA) algorithm was applied to compute compressed forms of low rank block of far-field group impedance matrix. After compressed by the ACA algorithm, the reduced matrix was further compressed by the adaptive cross approximation-singular value decomposition (ACA-SVD), which reduced storage and accelerated the calculation speed of matrix vector product. The near field group elements combining the precise method of moment with near field preconditioning technology realised the fast calculation of the RCS. Bistatic radar cross section (RCS) of the perfect electric conducting calculated by this method is in good agreement with the result calculated by the Mie series, which shows that the algorithm is accurate and effective. Numerical results show that with the same calculation precision, compared with traditional method of moments, applying ACA and ACA-SVD algorithms can reduce memory space by 59.25% and 78.10%, respectively, which can accelerate the calculation of matrix vector multiplication.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2016-09-17。
作者简介:张朝柱(1970-),男,教授,博士生导师;梁靓(1992-),女,硕士研究生
通讯作者:梁靓,E-mail:liangjing@hrbeu.edu.cn
更新日期/Last Update: 2018-01-06