• DocumentCode
    127319
  • Title

    Simple linear inversion of soil electromagnetic properties from analytical model of electromagnetic induction sensor

  • Author

    Vasic, Dejan ; Ambrus, Davorin ; Bilas, Vedran

  • Author_Institution
    Fac. of Electr. Eng. & Comput., Univ. of Zagreb, Zagreb, Croatia
  • fYear
    2014
  • fDate
    18-20 Feb. 2014
  • Firstpage
    15
  • Lastpage
    19
  • Abstract
    We present an analytical model of electromagnetic induction sensor with several receiver coils placed horizontally above a soil consisting of arbitrary number of conductive and magnetic layers. The modeled region is truncated far from the transmitter coil and the solution for its vector magnetic potential is given as a series. We linearize the model with respect to the soil electrical conductivity and magnetic susceptibility of each layer, and calculate the total contribution of all layers by superposition. We evaluate the validity of the linear approximation. Finally, we postulate the inverse problem of determination of the electromagnetic properties of the soil layers using single excitation frequency and illustrate the inversion procedure on a synthetic data set. The linear model and the inversion procedure are suitable for field deployable instrument.
  • Keywords
    electrical conductivity; electromagnetic induction; geophysical techniques; inductive sensors; inverse problems; magnetic susceptibility; soil; analytical model; electromagnetic induction sensor; inverse problem; linear inversion model; magnetic susceptibility; receiver coils; single excitation frequency; soil electrical conductivity; soil electromagnetic properties; synthetic data set; vector magnetic potential; Coils; Conductivity; Linear approximation; Magnetic susceptibility; Receivers; Soil; Transmitters; electromagnetic sounding; induction sensor; inverse problem; soil conductivity; soil susceptibility;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensors Applications Symposium (SAS), 2014 IEEE
  • Conference_Location
    Queenstown
  • Print_ISBN
    978-1-4799-2180-5
  • Type

    conf

  • DOI
    10.1109/SAS.2014.6798908
  • Filename
    6798908