Numerical simulation of conical diffraction of tapered electromagnetic waves from random rough surfaces and applications to passive remote sensing

A new tapered wave integral equation method was derived to simulate the conical diffraction of electromagnetic waves from rough surfaces. Both the full matrix inversion and the banded matrix iterative approaches are developed. By using the principle of reciprocity and energy conservation, all four Stokes parameters are calculated for polarimetric passive remote sensing of rough surfaces. We show in this paper that for a moderately rough surface, the third Stokes parameter can be as high as ±20°K. The tapered wave integral equation approach can deal with a rough surface with a large slope. The new method presented in this paper is compared with the previously published plane wave integral equation method and the extended boundary condition method. Very good agreement is obtained. Unlike the plane wave integral equation method and the extended boundary condition method, the tapered wave integral equation method does not have the kinks imposed by Floquet models and it requires a shorter surface length in most applications.

[1]  Leung Tsang Polarimetic Passive Microwave Remote Sensing of Random Discrete Scatterers and Rough Surfaces , 1991 .

[2]  D. Jackson,et al.  The validity of the perturbation approximation for rough surface scattering using a Gaussian roughness spectrum , 1988 .

[3]  Arthur R. McGurn,et al.  Weak transverse localization of light scattered incoherently from a one-dimensional random metal surface , 1993 .

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

[5]  Akira Ishimaru,et al.  Monte Carlo simulations of large-scale composite random rough-surface scattering based on the banded-matrix iterative approach , 1994 .

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

[7]  Akira Ishimaru,et al.  Application of the Finite Element Method to Monte Carlo , 1991 .

[8]  A. Ishimaru,et al.  Monte carlo simulations of scattering of waves by a random rough surface with the finite element method and the finite difference method , 1990 .

[9]  Son V. Nghiem,et al.  Polarimetric Passive Remote Sensing of a Periodic Soil Surface: Microwave Measurements and Analysis , 1991 .

[10]  Leung Tsang,et al.  Thermal emission of nonspherical particles , 1984 .

[11]  Jin Au Kong,et al.  Polarimetric Passive Remote Sensing of Periodic Surfaces , 1991 .

[12]  Jin Au Kong,et al.  Scattering of waves from periodic surfaces , 1981 .

[13]  M. Nieto-Vesperinas,et al.  Monte Carlo simulations for scattering of electromagnetic waves from perfectly conductive random rough surfaces. , 1987, Optics letters.

[14]  Leung Tsang,et al.  Application of a banded matrix iterative approach to monte carlo simulations of scattering of waves by a random rough surface: TM case , 1993 .

[15]  R. Depine Scattering of light from one-dimensional random rough surfaces: a new antispecular effect in oblique incidences , 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]  Manuel Nieto-Vesperinas,et al.  Electromagnetic scattering from very rough random surfaces and deep reflection gratings , 1989 .

[18]  A. Ishimaru,et al.  Numerical simulation of the second‐order Kirchhoff approximation from very rough surfaces and a study of backscattering enhancement , 1990 .