Efficient Computation of Wideband RCS Using Singular Value Decomposition Enhanced Improved Ultrawideband Characteristic Basis Function Method
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...
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Language: | English |
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Wiley
2016-01-01
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Series: | International Journal of Antennas and Propagation |
Online Access: | http://dx.doi.org/10.1155/2016/6367205 |
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author | Wen-yan Nie Zhong-gen Wang |
author_facet | Wen-yan Nie Zhong-gen Wang |
author_sort | Wen-yan Nie |
collection | DOAJ |
description | 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. |
format | Article |
id | doaj-art-ef19086748904664b59cd4646aaa74b4 |
institution | Kabale University |
issn | 1687-5869 1687-5877 |
language | English |
publishDate | 2016-01-01 |
publisher | Wiley |
record_format | Article |
series | International Journal of Antennas and Propagation |
spelling | doaj-art-ef19086748904664b59cd4646aaa74b42025-02-03T01:06:54ZengWileyInternational Journal of Antennas and Propagation1687-58691687-58772016-01-01201610.1155/2016/63672056367205Efficient Computation of Wideband RCS Using Singular Value Decomposition Enhanced Improved Ultrawideband Characteristic Basis Function MethodWen-yan Nie0Zhong-gen Wang1College of Mechanical and Electrical Engineering, Huainan Normal University, Huainan, Anhui 232001, ChinaCollege of Electrical and Information Engineering, Anhui University of Science and Technology, Huainan, Anhui 232001, ChinaThe 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.http://dx.doi.org/10.1155/2016/6367205 |
spellingShingle | Wen-yan Nie Zhong-gen Wang Efficient Computation of Wideband RCS Using Singular Value Decomposition Enhanced Improved Ultrawideband Characteristic Basis Function Method International Journal of Antennas and Propagation |
title | Efficient Computation of Wideband RCS Using Singular Value Decomposition Enhanced Improved Ultrawideband Characteristic Basis Function Method |
title_full | Efficient Computation of Wideband RCS Using Singular Value Decomposition Enhanced Improved Ultrawideband Characteristic Basis Function Method |
title_fullStr | Efficient Computation of Wideband RCS Using Singular Value Decomposition Enhanced Improved Ultrawideband Characteristic Basis Function Method |
title_full_unstemmed | Efficient Computation of Wideband RCS Using Singular Value Decomposition Enhanced Improved Ultrawideband Characteristic Basis Function Method |
title_short | Efficient Computation of Wideband RCS Using Singular Value Decomposition Enhanced Improved Ultrawideband Characteristic Basis Function Method |
title_sort | efficient computation of wideband rcs using singular value decomposition enhanced improved ultrawideband characteristic basis function method |
url | http://dx.doi.org/10.1155/2016/6367205 |
work_keys_str_mv | AT wenyannie efficientcomputationofwidebandrcsusingsingularvaluedecompositionenhancedimprovedultrawidebandcharacteristicbasisfunctionmethod AT zhonggenwang efficientcomputationofwidebandrcsusingsingularvaluedecompositionenhancedimprovedultrawidebandcharacteristicbasisfunctionmethod |