• DocumentCode
    2262625
  • Title

    Inverse scattering of a two-dimensional periodic conductor

  • Author

    Ho, Cheng-Shun ; Chiu, Chien-Ching ; Lai, Eugene

  • Author_Institution
    Electr. Eng. Dept., Tamkang Univ., Tamsui, Taiwan
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    449
  • Lastpage
    452
  • Abstract
    The image reconstruction of a two-dimensional periodic conductor by the genetic algorithm is investigated. A periodic conducting cylinder of unknown periodic length and shape scatters the incident wave in free space and the scattered field is recorded outside. Based on the boundary condition and measured scattered field, a set of nonlinear integral equations is derived and the imaging problem is reformulated into an optimization problem. The genetic algorithm is then employed to find out the global extreme solution of the cost function. As a result, the shape and the periodic length of the conductor can be obtained. Numerical results are given to demonstrate that even in the presence of noise, good reconstruction has been obtained
  • Keywords
    conducting bodies; electromagnetic fields; electromagnetic wave scattering; genetic algorithms; image reconstruction; integral equations; inverse problems; nonlinear equations; periodic structures; 2D periodic conductor; boundary condition; cost function; free space incident wave; genetic algorithm; global extreme solution; image reconstruction; imaging problem; inverse scattering; measured scattered field; noise; nonlinear integral equations; optimization problem; periodic conducting cylinder; periodic length scatterers; periodic shape scatterers; permeability; permittivity; scattered field; two-dimensional periodic conductor; Boundary conditions; Conductors; Cost function; Genetic algorithms; Image reconstruction; Integral equations; Inverse problems; Noise shaping; Scattering; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar, 2001 CIE International Conference on, Proceedings
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7803-7000-7
  • Type

    conf

  • DOI
    10.1109/ICR.2001.984734
  • Filename
    984734