• DocumentCode
    1775853
  • Title

    Inversion of ground parameters using genetic algorithms and engineering modeling for bistaticscattering

  • Author

    Xing Li ; Yaohui Li ; Zhensen Wu ; Yunhua Cao

  • Author_Institution
    Sch. of Phys. & Optoelectron. Eng., Xidian Univ., Xi´an, China
  • fYear
    2014
  • fDate
    26-29 July 2014
  • Firstpage
    1119
  • Lastpage
    1122
  • Abstract
    This paper describes the electromagnetic scattering model with concrete pavement and scattering properties of layered equivalent to a single exponential model of the electromagnetic spectrum engineering rough surface scattering, and then introduced the experimental method to measure the scattering coefficient of cement, the experimental apparatus and measurement system, and then later by the experimental scattering data obtained from the cement floor, Based on experimental data, we can obtained these parameters through the genetic algorithm, and then these parameters were carried into the formula to calculate the theoretical bistatic scattering coefficients, thus obtained bistatic scattering coefficients. Finally, this paper present several statistical models, based on genetic algorithms to optimizing the bistatic scattering data fitting and establish an empirical model.
  • Keywords
    cements (building materials); electromagnetic wave scattering; genetic algorithms; rough surfaces; statistical analysis; bistatic scattering data fitting; cement floor; concrete pavement; electromagnetic scattering model; electromagnetic spectrum engineering rough surface scattering; engineering modeling; genetic algorithms; ground parameters; scattering coefficient; scattering properties; statistical models; Data models; Electromagnetic scattering; Genetic algorithms; Rough surfaces; Sea surface; Surface roughness; bistatic scattering; genetic algorithm; rough; scattering; surface;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antennas and Propagation (APCAP), 2014 3rd Asia-Pacific Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4799-4355-5
  • Type

    conf

  • DOI
    10.1109/APCAP.2014.6992708
  • Filename
    6992708