• 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