• DocumentCode
    1779792
  • Title

    Adaptive multi-level uniform space partitioning algorithm for high-frequency electromagnetics simulations based on ray tracing

  • Author

    Weinmann, Frank

  • Author_Institution
    Dept. Antenna Technol. & Electromagn. Modelling AEM, Fraunhofer Inst. for High Freq. Phys. & Radar Tech. FHR, Wachtberg, Germany
  • fYear
    2014
  • fDate
    14-16 May 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper presents a volumetric space partitioning algorithm which can be used for accelerating high-frequency electromagnetic (EM) simulations based on a Shooting-and-Bouncing-Rays (SBR) algorithm. The goal of this algorithm is to minimize the number of ray-surface intersection tests. While the application of space partitioning is rather common in ray tracing EM simulations as well as in computer science, an adaptive multi-level extension of the volumetric space partitioning scheme is proposed here. The multi-level space partitioning algorithm only requires the maximum allowed number of geometric elements inside a volumetric space partition and adaptively creates the space partitioning grid according to the object studied in the simulation, i.e. according to the distribution of geometric elements. The results show that runtimes can easily be reduced by 50% when applying this optimization algorithm.
  • Keywords
    electromagnetic waves; optimisation; ray tracing; EM simulation; SBR algorithm; adaptive multilevel uniform volumetric space partitioning algorithm; high-frequency electromagnetics simulation; optimization algorithm; ray tracing; ray-surface intersection test; shooting-and- bouncing-ray algorithm; Acceleration; Adaptation models; Computational modeling; Electromagnetics; Partitioning algorithms; Ray tracing; Runtime; non-uniform spatial subdivision; radar cross section; ray tracing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Numerical Electromagnetic Modeling and Optimization for RF, Microwave, and Terahertz Applications (NEMO), 2014 International Conference on
  • Conference_Location
    Pavia
  • Type

    conf

  • DOI
    10.1109/NEMO.2014.6995667
  • Filename
    6995667