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International Journal of Antennas and Propagation
Volume 2016, Article ID 6367205, 6 pages
Research Article

Efficient Computation of Wideband RCS Using Singular Value Decomposition Enhanced Improved Ultrawideband Characteristic Basis Function Method

1College of Mechanical and Electrical Engineering, Huainan Normal University, Huainan, Anhui 232001, China
2College of Electrical and Information Engineering, Anhui University of Science and Technology, Huainan, Anhui 232001, China

Received 26 August 2016; Accepted 17 November 2016

Academic Editor: Ding-Bing Lin

Copyright © 2016 Wen-yan Nie and Zhong-gen Wang. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The singular value decomposition (SVD) enhanced improved ultrawideband characteristic basis function method (IUCBFM) is proposed to efficiently analyze the wideband scattering problems. In the conventional IUCBFM, the SVD is only applied to reduce the linear dependency among the characteristic basis functions (CBFs) due to the overestimation of incident plane waves. However, the increase in the size of the targets under analysis will require a large number of incident plane waves and it will become very time-consuming to solve such numbers of the matrix equation. In this paper, the excitation matrix is compressed by using the SVD in order to reduce both the number of matrix equation solutions and the number of CBFs compared with the traditional IUCBFM. Furthermore, the dimensions of the reduced matrix and the reduced matrix filling time are significantly reduced. Numerical results demonstrate that the proposed method is accurate and efficient.