DocumentCode :
70808
Title :
OpenGL-Based Hybrid GO/PO Computation for RCS of Electrically Large Complex Objects
Author :
Tian-Qi Fan ; Li-Xin Guo
Author_Institution :
Sch. of Phys. & Optoelectron. Eng., Xidian Univ., Xian, China
Volume :
13
fYear :
2014
fDate :
2014
Firstpage :
666
Lastpage :
669
Abstract :
In this letter, a novel method is proposed to assess the simulation of scattered fields from electrically large complex metallic objects. The basic idea is to employ Open Graphics Library (OpenGL) to accelerate paths tracing for geometrical optics (GO) and physical optics (PO) hybrid method. The procedure of OpenGL-based paths tracing is divided into two steps, which are shadow faces removal and reflected rays searching. In addition, some OpenGL speedup schemes have been proposed to improve the efficiency of this algorithm. Based on this, the GO/PO hybrid method can yield a superior performance for scattering analysis of large complex targets, especially at high frequency. Simulation results obtained from this model are verified by comparison to FEKO-MLFMM results, which proves an excellent accuracy computation, and the last example for an airplane model illustrates that the method we present can be very fast even at electrically large complex objects.
Keywords :
electromagnetic wave reflection; electromagnetic wave scattering; geometrical optics; physical optics; radar cross-sections; radar detection; OpenGL-based hybrid GO-PO computation; RCS; airplane model; electrically large complex metallic objects; geometrical optics; open graphics library; physical optics hybrid method; radar cross section; reflected rays; scattering analysis; Acceleration; Airplanes; Atmospheric modeling; Computational modeling; Image color analysis; Ray tracing; Solid modeling; Geometrical optics (GO); Open Graphics Library (OpenGL); large complex target; physical optics (PO); radar cross section (RCS);
fLanguage :
English
Journal_Title :
Antennas and Wireless Propagation Letters, IEEE
Publisher :
ieee
ISSN :
1536-1225
Type :
jour
DOI :
10.1109/LAWP.2014.2314313
Filename :
6785964
Link To Document :
بازگشت