Fast Calculation of Wide-angel RCS of Objects Using Improved Primary Characteristic Basis Functions

WANG Zhonggen; TANG Xiaowan; WANG Qiang

doi:10.11999/JEIT170499

Volume 40 Issue 3

Mar. 2018

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Article Navigation > Journal of Electronics & Information Technology > 2018 > 40(3): 573-578

WANG Zhonggen, TANG Xiaowan, WANG Qiang. Fast Calculation of Wide-angel RCS of Objects Using Improved Primary Characteristic Basis Functions[J]. Journal of Electronics & Information Technology, 2018, 40(3): 573-578. doi: 10.11999/JEIT170499

Citation:

WANG Zhonggen, TANG Xiaowan, WANG Qiang. Fast Calculation of Wide-angel RCS of Objects Using Improved Primary Characteristic Basis Functions[J]. Journal of Electronics & Information Technology, 2018, 40(3): 573-578. doi: 10.11999/JEIT170499

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Fast Calculation of Wide-angel RCS of Objects Using Improved Primary Characteristic Basis Functions

doi: 10.11999/JEIT170499

Funds:

The National Natural Science Foundation of China (61401003), The Natural Science Foundation of Anhui Provincial Education Department (KJ2016A669)

Received Date: 2017-05-24
Rev Recd Date: 2017-10-30
Publish Date: 2018-03-19

Abstract

Abstract

Characteristic basis function method is one of the effective methods to analyze wide-angle electromagnetic scattering characteristics of objects. However, the incident wave excitations used to construct the Characteristic Basis Functions (CBFs) contain large amount of redundant information, which greatly reduces the construction efficiency of the CBFs. Moreover, when the complex target is analyzed, the calculation accuracy can not be significantly improved only using the Primary CBFs (PCBFs) when the number of excitations is increased. To solve these problems, an improved CBFs construction method is presented in this paper. Firstly, the Singular Value Decomposition (SVD) technique is used to effectively compress the excitation matrix to remove the redundant information, which in turn reduces the number of solving the matrix equation. Then, the mutual interaction among subdomains is fully considered, the Improved PCBFs (IPCBFs) are obtained by merging the PCBFs and the Secondary CBFs (SCBFs). The numerical results show that the proposed method has higher computational efficiency and computational accuracy than the traditional method.
- Wide-angle RCS,
- Characteristic Basis Function Method (CBFM),
- Characteristic Basis Functions (CBFs),
- Singular Value Decomposition (SVD)

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References(23)

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