• DocumentCode
    2807104
  • Title

    Simulation and analysis of GPR signal based on stochastic media model

  • Author

    Jiang, Zimeng ; Zeng, Zhaofa ; Li, Jing ; Liu, Fengshan ; Wu, Fengshou

  • Author_Institution
    Coll. of Geo-exploration Sci. & Technol., Jilin Univ., Changchun, China
  • fYear
    2012
  • fDate
    4-8 June 2012
  • Firstpage
    214
  • Lastpage
    219
  • Abstract
    The principle of applying Ground penetrating radar (GPR) in target detection is based on the electrical parameters of medium, such as dielectric, conductivity and permeability. Its application mainly concentrates on the detection of medium interface and target shape. In theoretical study, the simulation model is built with homogeneous medium. But the medium is heterogeneous and random distribution in practice. When radar wave propagates in the heterogeneous medium, it will produce scattering and diffraction at electrical interface and makes the radar wave seriously distort, the amplitude of received wave is also changed. It has influence on the resolution and detecting depth. In this paper, we build the stochastic model with normal distribution function and use high order FDTD method to simulate the GPR signal response, then analyze wave characteristics and target response in different random models. The results demonstrate that the random heterogeneous media model could describe the practical detection environment. It has the extensive applicability and lays a foundation for the parameters of medium extraction and data inversion.
  • Keywords
    finite difference time-domain analysis; ground penetrating radar; normal distribution; object detection; radar detection; radar signal processing; stochastic processes; GPR signal response simulation; conductivity; data inversion; dielectric; electrical interface; electrical parameter; ground penetrating radar; high order FDTD method; homogeneous medium; medium extraction; medium interface detection; normal distribution function; permeability; radar wave propagation; random heterogeneous media model; stochastic media model; stochastic model; target detection; target response; target shape detection; wave characteristics; Conferences; Ground penetrating radar; Ground-penetrating radar (GPR); High order FDTD; Random heterogeneous media model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ground Penetrating Radar (GPR), 2012 14th International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4673-2662-9
  • Type

    conf

  • DOI
    10.1109/ICGPR.2012.6254863
  • Filename
    6254863