• DocumentCode
    3680425
  • Title

    A holographic reconstruction method for circular multistatic subsurface radar

  • Author

    Daniel Flores-Tapia;Oleksandr Maizlish;Clive M. Alabaster;Stephen Pistorius

  • Author_Institution
    Dept. of Math., Univ. of Manitoba, Winnipeg, MB, Canada
  • fYear
    2012
  • Firstpage
    142
  • Lastpage
    145
  • Abstract
    In recent years, the use of Subsurface Radar (SR) has been proposed for some emerging applications such as breast imaging and wood inspection. A circular scan geometry is usually used in these applications to better suit the morphology of the scan region. Nevertheless, the reconstruction of these kind of datasets is a non-trivial task due to the nature of the phase wrappings introduced by the scan geometry and the near field distances between the antenna and the targets. In this paper, a novel reconstruction algorithm for multistatic SR datasets recorded along cylindrical scan geometries is proposed. This image formation approach performs a series of operations in the frequency domain to compensate the effects of the scan geometry. The performance of the proposed method was evaluated using a series of simulated datasets. Compared with its monostatic counterpart, the proposed reconstruction algorithm generated images with a higher signal to noise ratio, spatial accuracy and focal quality.
  • Keywords
    "Image reconstruction","Geometry","Radar imaging","Signal to noise ratio","Reconstruction algorithms"
  • Publisher
    ieee
  • Conference_Titel
    Waveform Diversity & Design Conference (WDD), 2012 International
  • Type

    conf

  • DOI
    10.1109/WDD.2012.7311268
  • Filename
    7311268