DocumentCode
556907
Title
An acceleration iteration technique for the electromagnetic scattering from objects above a rough surface
Author
Yang, Wei ; Zhao, Zhiqin ; Liu, Wei ; Nie, Zaiping
Author_Institution
Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear
2011
fDate
26-30 Sept. 2011
Firstpage
1
Lastpage
4
Abstract
A hybrid analytic-numerical method combining the analytic physical optics (PO) and the numerical multilevel fast multipole algorithm (MLFMA) is applied in this paper to solve the electromagnetic scattering problem from the objects above a rough surface, where the PO and MLFMA are used to calculate the electromagnetic scattering of the rough surfaces and the object, respectively. In order to take the interaction effects among the rough surface into account, an iterative PO is introduced to improve the accuracy of tangent-plane approximation. Meanwhile, the fast far-field approximation (FAFFA) for the hybrid method is applied to speed up the electromagnetic iterative process between the two objects. Compared with the conventional method, the above treatments are very efficient to analyze this kind of scattering problem, especially for the Monte Carlo simulations in the random rough surface.
Keywords
Monte Carlo methods; electromagnetic wave scattering; iterative methods; physical optics; rough surfaces; FAFFA; MLFMA; Monte Carlo simulations; acceleration iteration technique; analytic physical optics; analytic-numerical method; electromagnetic scattering; fast far-field approximation; numerical multilevel fast multipole algorithm; rough surface; tangent-plane approximation; Electromagnetic scattering; Optical surface waves; Rough surfaces; Sea surface; Surface roughness; Surface treatment; EM scattering; fast far-field approximation (FAFFA); hybrid method;
fLanguage
English
Publisher
ieee
Conference_Titel
Synthetic Aperture Radar (APSAR), 2011 3rd International Asia-Pacific Conference on
Conference_Location
Seoul
Print_ISBN
978-1-4577-1351-4
Type
conf
Filename
6086962
Link To Document