Search

Article

x

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

Fast analyses of electromagnetic scattering characteristics from conducting targets using improved and the adaptive cross approximation algorithm

Wang Zhong-Gen Sun Yu-Fa Wang Guo-Hua

Fast analyses of electromagnetic scattering characteristics from conducting targets using improved and the adaptive cross approximation algorithm

Wang Zhong-Gen, Sun Yu-Fa, Wang Guo-Hua
PDF
Get Citation
Metrics
  • Abstract views:  522
  • PDF Downloads:  629
  • Cited By: 0
Publishing process
  • Received Date:  24 June 2013
  • Accepted Date:  23 July 2013
  • Published Online:  20 October 2013

Fast analyses of electromagnetic scattering characteristics from conducting targets using improved and the adaptive cross approximation algorithm

  • 1. Key Laboratory of Intelligent Computing and Signal Processing, Ministry of Education, Anhui University, Hefei 230039, China;
  • 2. College of Electrical and Information Engineering, Anhui University of Science and Technology, Huainan 232001, China
Fund Project:  Project supported by the National Natural Science Foundation of China (Grant No. 61172020), the Specialized Research Fund for the Doctoral Program of Higher Education of China (Grant No. 20123401110006), the Academic Innovation Research for College Graduates of Anhui University, China (Grant No. 10117700470), and the Fund for 211 Project of Anhui University, China (Grant No. ZYGG201202).

Abstract: Constructing characteristic basis functions (CBFs) is a key step of characteristic basis function method (CBFM). But it is required to set adequate plane wave excitations in each sub-block, which leads to the increased number of characteristic basis functions and the longer time consumed in singular value decomposition of traditional method. In order to accelerate the construction of CBFs, an improved CBFM is presented, which fully considers the mutual coupling effects among sub-blocks and then the secondary level characteristic basis function (SCBF) is obtained, therefore the number of plane wave excitations is reduced greatly, and so is the number of characteristic basis functions. The adaptive cross approximation algorithm is also used to accelerate the matrix-vector multiplication procedure of generating SCBF and constructing the reduced matrix. Numerical results demonstrate that the proposed method is accurate and efficient.

Reference (27)

Catalog

    /

    返回文章
    返回