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Article type: Research Article
Authors: Wang, Zhong-Gena; * | Mu, Jun-Wena | Nie, Wen-Yanb
Affiliations: [a] College of Electrical and Information Engineering, Anhui University of Science and Technology, Huainan, Anhui 232001, China | [b] College of Mechanical and Electrical Engineering, Huainan Normal University, Huainan, Anhui 232001, China
Correspondence: [*] Corresponding author: Zhong-Gen Wang, College of Electrical and Information Engineering, Anhui University of Science and Technology, Huainan, Anhui 232001, China. E-mail: [email protected].
Abstract: In this paper, a merged ultra-wideband characteristic basis function method (MUCBFM) is presented for high-precision analysis of wideband scattering problems. Unlike existing singular value decomposition (SVD) enhanced improved ultra-wideband characteristic basis function method (SVD-IUCBFM), the MUCBFM reduces the number of characteristic basis functions (CBFs) necessary to express a current distribution. This reduction is achieved by combining primary CBFs (PCBFs) with the secondary level CBFs (SCBFs) to form a single merged ultra-wideband characteristic basis function (MUCBF). As the MUCBF incorporates the effects of PCBFs and SCBFs, the accuracy does not change significantly compared to that obtained by the SVD-IUCBFM. Furthermore, the efficiencies of constructing the CBFs and filling the reduced matrix are improved. Numerical examples verify and demonstrate that the proposed method is credible both in terms of accuracy and efficiency.
Keywords: Ultra-wideband characteristic basis function method (UCBFM), characteristic basis functions (CBFs), wideband radar cross section
DOI: 10.3233/JCM-204704
Journal: Journal of Computational Methods in Sciences and Engineering, vol. 21, no. 4, pp. 865-874, 2021
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