scholarly journals Characteristic Basis Function Method for Solving Electromagnetic Scattering Problems Over Rough Terrain Profiles

2010 ◽  
Vol 58 (5) ◽  
pp. 1579-1589 ◽  
Author(s):  
Atacan Yagbasan ◽  
Celal Alp Tunc ◽  
Vakur B Erturk ◽  
Ayhan Altintas ◽  
Raj Mittra
Keyword(s):  
Electromagnetic Scattering ◽  
Basis Function ◽  
Function Method ◽  
Rough Terrain ◽  
Scattering Problems

Parallelized multilevel characteristic basis function method for solving electromagnetic scattering problems

2009 ◽  
Vol 51 (12) ◽  
pp. 2963-2969 ◽  
Author(s):  
Jaime Laviada ◽  
Marcos R. Pino ◽  
Raj Mittra ◽  
Fernando Las-Heras
Keyword(s):  
Electromagnetic Scattering ◽  
Basis Function ◽  
Function Method ◽  
Scattering Problems

Ultra-wideband characteristic basis function method merging the secondary level characteristic basis functions for rapid computation of wideband radar cross section problems from conducting targets

2020 ◽  
pp. 1-10
Author(s):  
Zhong-Gen Wang ◽  
Jun-Wen Mu ◽  
Wen-Yan Nie
Keyword(s):  
Basis Function ◽  
Function Method ◽  
Secondary Level ◽  
Singular Value ◽  
Basis Functions ◽  
Ultra Wideband ◽  
Scattering Problems ◽  
Wideband Radar ◽  
Value Decomposition ◽  
A Current

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.

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