• DocumentCode
    3289688
  • Title

    Improved GPR image quality by truncating the bandwidth of the Fourier transform in 2D diffraction tomographic inversion

  • Author

    Lum, Sebastian HerHuat ; Tang, Tee ; Lyall, Jim

  • Author_Institution
    Fac. of Built Environ. & Eng., Queensland Univ. of Technol., Brisbane, QLD
  • fYear
    2008
  • fDate
    2-4 Dec. 2008
  • Firstpage
    391
  • Lastpage
    394
  • Abstract
    Diffraction tomography (DT) has been applied in ground penetrating radar (GPR) to obtain images of buried objects. In order to obtain a unique solution for the object function, a maximum frequency range should be used in a DT inversion routine. In this paper, a method is proposed to appropriately truncate the frequency range of the Fourier-transformed (FT) scattered field for a 2D DT inversion routine. This is achieved by determining the variation of the phase in the FT scattered field. The number of zero-crossings of the FT phase along the spatial axis is counted and a moving-average filter is applied to enable proper bandwidth selection. Numerical simulations are demonstrated using synthetic data with additive white Gaussian noise.
  • Keywords
    AWGN; Fourier transforms; buried object detection; ground penetrating radar; radar imaging; 2D diffraction tomographic inversion; Fourier-transformed scattered field; additive white Gaussian noise; ground penetrating radar; image quality; moving-average filter; object function; synthetic data; Bandwidth; Buried object detection; Diffraction; Filters; Fourier transforms; Frequency; Ground penetrating radar; Image quality; Radar scattering; Tomography; Diffraction tomography; Fourier Transform; ground penetrating radar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    RF and Microwave Conference, 2008. RFM 2008. IEEE International
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4244-2866-3
  • Electronic_ISBN
    978-1-4244-2867-0
  • Type

    conf

  • DOI
    10.1109/RFM.2008.4897397
  • Filename
    4897397