• DocumentCode
    3244799
  • Title

    Inverse scattering for the perfectly conducting cylinder by asynchronous particle swarm optimization

  • Author

    Wei, Chien ; Sun, Chi-Hsien ; Wu, Jan-Ou ; Chiub, Chien-Ching ; Wu, Min-Kang

  • Author_Institution
    Dept. of Electron. Eng., De Lin Inst. of Technol., Tu-Cheng, Taiwan
  • fYear
    2011
  • fDate
    27-29 May 2011
  • Firstpage
    410
  • Lastpage
    412
  • Abstract
    This paper reports a two-dimensional time-domain inverse scattering algorithm based upon the finite-difference time domain method for determining the shape of perfectly conducting cylinder. Finite difference time domain method (FDTD) is used to solve the scattering electromagnetic wave of a perfectly conducting cylinder. The inverse problem is resolved by an optimization approach and the global searching scheme asynchronous particle swarm optimization (APSO) is then employed to search the parameter space. By properly processing the scattered field, some EM properties can be reconstructed. One is the location of the conducting cylinder, the others is the shape of the perfectly conducting cylinder. Numerical result indicates that the APSO outperforms the PSO in terms of reconstruction accuracy and convergence speed.
  • Keywords
    electromagnetic wave scattering; finite difference time-domain analysis; inverse problems; particle swarm optimisation; search problems; shapes (structures); APSO; EM property reconstruction; FDTD method; asynchronous particle swarm optimization; convergence speed; electromagnetic wave scattering; finite-difference time domain method; global searching scheme; inverse problem; parameter space search; perfectly conducting cylinder; two-dimensional time-domain inverse scattering algorithm; FDTD; Inverse Scattering; Subgridding Finite Difference asynchronous particle swarm optimization (APSO);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Software and Networks (ICCSN), 2011 IEEE 3rd International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-61284-485-5
  • Type

    conf

  • DOI
    10.1109/ICCSN.2011.6014924
  • Filename
    6014924