Multilevel expansion of the sparse-matrix canonical grid method for two-dimensional random rough surfaces

The authors study simulations of 3D scattering and emission problems by using the sparse-matrix canonical grid (SMCG) method. The near interactions among the source points and field points are computed using the exact Green's function. In contrast, the far interactions are computed by the fast Fourier transforms (FFTs) through a Taylor series expansion of the Green' s function about a flat surface (z=O). The near interactions can be computed repeatedly in the iterative solution, or computed once and stored depending on the computer memory available, which will lead to low computation efficiency or large memory storage requirement. Therefore, the applicability of the SMCG method highly depends on the memory storage or the computation efficiency of computing the near interactions and the accuracy of the Taylor series expansion of the far interactions when the rms height of the rough surface increases. To overcome the iimitatjon of the SMCG method on the surface roughness, they demonstrated that a multilevel expansion can be employed for 1-D rough surface with large rms height. That is to say, they are not restricted to expand the Green's function about the flat suface at z=0 as used in the SMCG method but about multilevel flat surfaces with different value of z with equal displacement In this paper, they extend this multilevei expansion approach to 2D perfect electric conductor and lossy dielectric surfaces.

[1]  Akira Ishimaru,et al.  Wave propagation and scattering in random media , 1997 .

[2]  S. Durden,et al.  A physical radar cross-section model for a wind-driven sea with swell , 1985, IEEE Journal of Oceanic Engineering.

[3]  Leung Tsang,et al.  Numerical solution of scattering of waves by lossy dielectric surfaces using a physics‐based two‐grid method , 1997 .

[4]  Joel T. Johnson,et al.  Backscattering enhancement of electromagnetic waves from two-dimensional perfectly conducting random rough surfaces based on Monte Carlo simulations , 1995 .

[5]  Qin Li,et al.  Parallel implementation of the sparse-matrix/canonical grid method for the analysis of two-dimensional random rough surfaces (three-dimensional scattering problem) on a Beowulf system , 2000, IEEE Trans. Geosci. Remote. Sens..

[6]  Qin Li,et al.  Monte Carlo simulations of wave scattering from lossy dielectric random rough surfaces using the physics-based two-grid method and the canonical-grid method , 1999 .

[7]  Leung Tsang,et al.  Monte-Carlo simulations of large-scale problems of random rough surface scattering and applications to grazing incidence with the BMIA/canonical grid method , 1995 .

[8]  Jiming Song,et al.  Monte Carlo simulation of electromagnetic scattering from two-dimensional random rough surfaces , 1997 .

[9]  Darrell R. Jackson,et al.  Studies of scattering theory using numerical methods , 1991 .

[10]  Joel T. Johnson,et al.  A numerical study of ocean polarimetric thermal emission , 1999, IEEE Trans. Geosci. Remote. Sens..

[11]  Leung Tsang,et al.  Monte Carlo simulations of large-scale one-dimensional random rough-surface scattering at near-grazing incidence: Penetrable case , 1998 .

[12]  Joel T. Johnson,et al.  Numerical simulations and backscattering enhancement of electromagnetic waves from two-dimensional dielectric random rough surfaces with the sparse-matrix canonical grid method , 1997 .

[13]  A. Fung,et al.  Numerical computation of scattering from a perfectly conducting random surface , 1978 .

[14]  Akira Ishimaru,et al.  Backscattering enhancement of electromagnetic waves from two-dimensional perfectly conducting random rough surfaces: a comparison of Monte Carlo simulations with experimental data , 1996 .

[15]  Leung Tsang,et al.  Monte Carlo simulation of a two-dimensional random rough surface using the sparse-matrix flat-surface iterative approach , 1993 .

[16]  Leung Tsang,et al.  Application of the finite element method to Monte Carlo simulations of scattering of waves by random rough surfaces: penetrable case , 1991 .

[17]  Steven G. Johnson,et al.  The Fastest Fourier Transform in the West , 1997 .

[18]  Leung Tsang,et al.  Electromagnetic scattering of waves by random rough surface: A finite-difference time-domain approach , 1991 .

[19]  J. Kong,et al.  Theory of microwave remote sensing , 1985 .

[20]  Weng Cho Chew,et al.  Fast algorithm for the analysis of scattering by dielectric rough surfaces , 1998 .

[21]  Leung Tsang,et al.  Bistatic scattering and emissivities of random rough dielectric lossy surfaces with the physics-based two-grid method in conjunction with the sparse-matrix canonical grid method , 2000 .

[22]  Scattering by one- or two-dimensional randomly rough surfaces , 1991 .