Abstract
Combining a wavelet transform and banded-matrix iterative approach/canonical grid method (BMIA/CG), an efficient algorithm for solving the large-scale electromagnetic problems is proposed. Based on the concept of the multiresolution analysis, the banded matrix associated with the strong near interactions in the BMIA/CG method is compressed to reduce the required storage and computational cost by using a screening window wavelet transform scheme. For the weak far interactions, the contributions are translated into the canonical-grid mesh by using a Taylor's series expansion so that the fast Fourier transform can be applied. Monte Carlo simulations of the electromagnetic scattering from one-dimensional lossy dielectric rough surfaces are then performed to illustrate the numerical efficiency of the proposed method. © 1998 John Wiley & Sons, Inc.
| Original language | English |
|---|---|
| Pages (from-to) | 274-279 |
| Journal | Microwave and Optical Technology Letters |
| Volume | 19 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 1998 |
Research Keywords
- Banded-matrix iterative approach/canonical grid method
- Monte Carlo simulations
- Multiresolution analysis
- Rough surfaces
- Wavelet transform
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