• DocumentCode
    673523
  • Title

    Electromagnetic inverse scattering series (ISS) method for sensing 2-D objects buried in layered media with unknown dielectric properties

  • Author

    Jinguo Wang ; Zhiqin Zhao ; Jiangniu Wu ; Kai Yang ; Zaiping Nie ; Qing-Huo Liu

  • Author_Institution
    Sch. of Electxronic Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2013
  • fDate
    7-13 July 2013
  • Firstpage
    536
  • Lastpage
    537
  • Abstract
    To reconstruct objects buried in layered media, most of current imaging methods are based on a common assumption that the dielectric properties of layered media are given. However, this assumption is unrealistic in practice. To study a more realistic electromagnetic inverse scattering problem in which the dielectric properties of layered media are not given, an inverse scattering series (ISS) method which has been used in seismic exploration is extended into electromagnetic field. By using the developed ISS method, objects buried in layered media can be imaged without knowing the dielectric properties of layered media a prior. The feasibility of the improved ISS method has been demonstrated by some numerical simulations.
  • Keywords
    buried object detection; dielectric properties; electromagnetic wave scattering; geophysical techniques; inhomogeneous media; seismology; 2D object sensing; ISS method; electromagnetic field; electromagnetic inverse scattering series method; layered media; numerical simulations; object reconstruction; seismic exploration; unknown dielectric properties; Dielectrics; Educational institutions; Electromagnetic scattering; Electromagnetics; Image reconstruction; Inverse problems; Nonhomogeneous media;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antennas and Propagation Society International Symposium (APSURSI), 2013 IEEE
  • Conference_Location
    Orlando, FL
  • ISSN
    1522-3965
  • Print_ISBN
    978-1-4673-5315-1
  • Type

    conf

  • DOI
    10.1109/APS.2013.6710928
  • Filename
    6710928