Application of stochastic second-degree method to electromagnetic scattering from randomly rough surfaces

2007 ◽  
Vol 43 (23) ◽  
pp. 1244
Author(s):  
Y. Du ◽  
J.A. Kong
Keyword(s):  
Electromagnetic Scattering ◽  
Rough Surfaces ◽  
Randomly Rough Surfaces ◽  
Second Degree

Bistatic Electromagnetic Scattering from Randomly Rough Surfaces

PIERS Online ◽  
2007 ◽  
Vol 3 (5) ◽  
pp. 637-640
Author(s):  
Yang Du ◽  
Huanyu Chen ◽  
Yang Qi ◽  
Jin Au Kong
Keyword(s):  
Electromagnetic Scattering ◽  
Rough Surfaces ◽  
Randomly Rough Surfaces

Electromagnetic Scattering from Randomly Rough Surfaces with Hybrid FEM/BIE

2011 ◽  
Vol 28 (10) ◽  
pp. 104101 ◽  
Author(s):  
Jie Li ◽  
Li-Xin Guo ◽  
Qiong He ◽  
Bing Wei
Keyword(s):  
Electromagnetic Scattering ◽  
Rough Surfaces ◽  
Randomly Rough Surfaces

A Novel Iteration Model for Electromagnetic Scattering from Rough Surfaces

Frequenz ◽  
2016 ◽  
Vol 70 (1-2) ◽  
Author(s):  
Chang-Ze Li ◽  
Chuangming Tong ◽  
Lihui Qi ◽  
Weijie Wang ◽  
An Wang
Keyword(s):  
Electromagnetic Scattering ◽  
Large Scale ◽  
Rough Surfaces ◽  
Scattering Problem ◽  
Field Approximation ◽  
The Matrix ◽  
Iteration Model ◽  
Randomly Rough Surfaces ◽  
Matrix Vector ◽  
Relaxation Iteration

AbstractAn iterative physical optics (IPO) is proposed to solve the extra large scale (e.g. larger than one thousand square lambda) electromagnetic (EM) scattering from randomly rough surfaces in this paper. The forward-backward methodology and its modification with under-relaxation iteration improve convergence and stability of the IPO; the fast far-field approximation (FaFFA) in the matrix-vector product reduces the computational complexity based on the scattering characteristics of rough surface. Through these techniques, this model can solve effectively the extra large scale scattering problem from the randomly rough surfaces.

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