• DocumentCode
    418599
  • Title

    Microwave imaging of perfect electrically conducting cylinder by micro-genetic algorithm

  • Author

    Huang, Tony ; Mohan, Ananda S.

  • Author_Institution
    Microwave & Wireless Technol. Res. Lab., Univ. of Technol., Sydney, NSW, Australia
  • Volume
    1
  • fYear
    2004
  • fDate
    20-25 June 2004
  • Firstpage
    221
  • Abstract
    In this paper, we successfully demonstrate the use of a micro-genetic algorithm (m-GA) to the problems of microwave image reconstruction for perfect electrically conducting cylinders, even when there is only a limited number of measured data available. We have also presented the comparison between the performance of conventional GA and m-GA, and the result shows that m-GA converges much faster than the conventional GA.
  • Keywords
    convergence; electromagnetic wave scattering; genetic algorithms; image reconstruction; inverse problems; microwave imaging; EM inverse scattering problem; m-GA convergence; micro-genetic algorithm; microwave image reconstruction; microwave imaging; multi-illumination multiview method; perfect electrically conducting cylinders; Electromagnetic radiation; Electromagnetic scattering; Engine cylinders; Image reconstruction; Inverse problems; Microwave imaging; Microwave technology; Radar scattering; Shape measurement; Transceivers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antennas and Propagation Society International Symposium, 2004. IEEE
  • Print_ISBN
    0-7803-8302-8
  • Type

    conf

  • DOI
    10.1109/APS.2004.1329604
  • Filename
    1329604