• DocumentCode
    2848365
  • Title

    A new approach in identification of dielectric constants

  • Author

    Wang, Yun ; Banks, H.T. ; Buksas, M.W.

  • Author_Institution
    Math. Products Div., Armstrong Lab./OES, Brooks AFB, TX, USA
  • Volume
    4
  • fYear
    1995
  • fDate
    13-15 Dec 1995
  • Firstpage
    3730
  • Abstract
    In this note, we present a time domain approach for study of electromagnetic inverse problems. Maxwell´s equations coupled with a generalized dispersion model are considered. The dispersion model is an electric polarization equation given in terms of a convolution of the electric field with an impulse response function. Well posedness is presented for a one-dimensional dispersive medium case. Reconstruction (identification) of electromagnetic property profiles of media is demonstrated via numerical examples. Parameters representing the electromagnetic property of a medium are the static permittivity, relaxation time, natural frequency, static conductivity, etc. The number of parameters involved depend on the choice of parameterization in the polarization equation
  • Keywords
    Maxwell equations; bioelectric phenomena; distributed parameter systems; electromagnetic wave scattering; inverse problems; parameter estimation; permittivity; transient response; Maxwell´s equations; dielectric constant identification; electric field convolution; electric polarization equation; electromagnetic inverse problems; electromagnetic property profile reconstruction; impulse response function; natural frequency; one-dimensional dispersive medium case; relaxation time; static conductivity; static permittivity; time-domain approach; well-posedness; Biological system modeling; Conductivity; Dielectric constant; Differential equations; Electromagnetic scattering; Electromagnetic wave polarization; Inverse problems; Maxwell equations; Partial differential equations; Permittivity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1995., Proceedings of the 34th IEEE Conference on
  • Conference_Location
    New Orleans, LA
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-2685-7
  • Type

    conf

  • DOI
    10.1109/CDC.1995.479173
  • Filename
    479173