Ultra-wide Band Characteristic Basis Function Method and Best Uniform Approximation

Authors

  • Wenyan Nie School of Mechanical and Electrical Engineering Huainan Normal University, Huainan, 232001, China
  • Zhonggen Wang School of Electrical and Information Engineering Anhui University of Science and Technology, Huainan, 232001, China

Keywords:

Best uniform approximation, Method of Moments (MoM), Ultra-wide band Characteristic Basis Function Method (UCBFM), wideband radar cross section

Abstract

The ultra-wide band characteristic basis function method (UCBFM) is an efficient approach to calculate wideband radar cross section (RCS) of objects, but its calculation errors at lower frequency points are great and the reduced matrix at each frequency point needs to be reconstructed, which are very time-consuming. To solve these problems, an effective numerical method for fast calculating wideband RCS of objects by combining improved UCBFM (IUCBFM) and best uniform approximation is proposed. This method improves the construction of the ultra-wide band characteristic basis functions (UCBFs) through solving the secondary level characteristic basis functions (SCBFs). In consideration of the mutual coupling effects among sub-blocks, the improved UCBFs contain more current information characteristics, which greatly improve the calculation precision at lower frequency points. Moreover, to avoid the reconstruction of reduced matrix at each frequency point, the best uniform approximation technology is used to fast predict the surface current at any frequency point in the given frequency band and further realize the fast calculation of wideband RCS of objects. Compared with traditional UCBFM, the method in this paper significantly improves the calculation accuracy and efficiency. Numerical results demonstrate that the proposed method is accurate and efficient.

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Published

2021-08-10

How to Cite

[1]
Wenyan Nie and Zhonggen Wang, “Ultra-wide Band Characteristic Basis Function Method and Best Uniform Approximation”, ACES Journal, vol. 31, no. 09, pp. 1118–1124, Aug. 2021.

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