• DocumentCode
    767380
  • Title

    Sparse parameterisation of electromagnetic scattering data using genetic algorithm with adaptive feeding

  • Author

    Li, J. ; Zhou, Y. ; Ling, H.

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Texas-Pan American, Edinburg, TX, USA
  • Volume
    39
  • Issue
    15
  • fYear
    2003
  • fDate
    7/24/2003 12:00:00 AM
  • Firstpage
    1104
  • Lastpage
    1105
  • Abstract
    A method is presented to parameterise scattering data from complex targets. Based on a global model with both scattering centres and resonances, a genetic algorithm with adaptive feeding is proposed for a sparse representation. The algorithm is tested with measurement data and shows better performance than non-global parameterisation methods.
  • Keywords
    electromagnetic wave scattering; genetic algorithms; adaptive feeding; complex targets; electromagnetic scattering data; genetic algorithm; global model; measurement data; resonances; scattering centres; sparse parameterisation;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:20030723
  • Filename
    1222671
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=767380