Fast Computation of Monostatic RCS of Objects by Combing Characteristic Basis Function Method and Singular Value Decomposition

被引：0
|
作者：
Nie, Wenyan [1 ]
Wang, Zhonggen [2 ]
机构：
[1] Huainan Normal Univ, Coll Mech & Elect Engn, Huainan, Anhui, Peoples R China
[2] Anhui Univ Sci & Technol, Coll Elect & Informat Engn, Huainan, Anhui, Peoples R China
来源：
2018 INTERNATIONAL APPLIED COMPUTATIONAL ELECTROMAGNETICS SOCIETY SYMPOSIUM IN CHINA (ACES-CHINA 2018) | 2018年
关键词：
characteristic basis function method (CBFM); singular value decomposition (SVD); radar cross section (RCS); characteristic basis functions (CBFs); ELECTROMAGNETIC SCATTERING;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
A hybrid approach is proposed for fast computation of monostatic radar cross section (RCS) of objects. The proposed method applies the singular value decomposition (SVD) to compress the excitation matrix and introduces a new method to construct the characteristic basis functions (CBFs) considering the mutual interaction among blocks. Under such circumstances, the number of matrix equation solutions and the number of CBFs are both significantly reduced. Numerical examples verify and demonstrate that the proposed method is credible both in terms of accuracy and efficiency.
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页数：2
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