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Analysis of scattering by surfaces using a wavelet‐transformed triangular‐patch model
Author(s) -
Baharav Z.,
Leviatan Y.
Publication year - 1999
Publication title -
microwave and optical technology letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.304
H-Index - 76
eISSN - 1098-2760
pISSN - 0895-2477
DOI - 10.1002/(sici)1098-2760(19990605)21:5<359::aid-mop15>3.0.co;2-3
Subject(s) - basis function , wavelet , basis (linear algebra) , matrix (chemical analysis) , mathematics , mathematical analysis , transformation (genetics) , wavelet transform , transformation matrix , scattering , thresholding , algorithm , geometry , computer science , physics , optics , image (mathematics) , artificial intelligence , classical mechanics , materials science , biochemistry , chemistry , kinematics , composite material , gene
When analyzing electromagnetic scattering by three‐dimensional perfectly conducting bodies of arbitrary shape, the surface modeling is often affected by triangulation, and in turn, triangular‐patch basis functions are used for expanding the unknown surface current. In this paper, we apply a wavelet transformation to transform the triangular‐patch basis functions to a new set of basis functions, which can be interpreted as wavelet combinations of the original basis functions. The new basis functions can lead to a matrix representation of the operator equation that is more localized and which, by proper thresholding, can be rendered sparse. Alternatively, they can lead, via an impedance matrix compression (IMC) approach, to a matrix equation that is compressed (rank reduced). The solution of either the sparse or the compressed matrix equation can yield fairly accurate results with less computational effort. The dependence of the results on ordering of the original triangular‐patch basis functions prior to the transformation is discussed. ©1999 John Wiley & Sons, Inc. Microwave Opt Technol Lett 21: 359–365, 1999.