• DocumentCode
    105192
  • Title

    Three-Dimensional Real-Time Through-the-Wall Radar Imaging With Diffraction Tomographic Algorithm

  • Author

    Wenji Zhang ; Hoorfar, Ahmad

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Duke Univ., Durham, NC, USA
  • Volume
    51
  • Issue
    7
  • fYear
    2013
  • fDate
    Jul-13
  • Firstpage
    4155
  • Lastpage
    4163
  • Abstract
    In this paper, a 3-D diffraction tomographic algorithm is proposed for real-time through-the-wall radar imaging (TWRI). The spectral expansion of the three-layered medium dyadic Green´s function is employed to derive a linear relationship between the spatial Fourier transforms of the image and the scattered field under Born approximation. Then, the image can be efficiently reconstructed with inverse fast Fourier transform (IFFT). The linearization of the inversion scheme and the easy implementation of the algorithm with FFT/IFFT make the diffraction tomographic TWRI algorithm suitable for on-site applications. The 3-D polarimetric TWRI is investigated using the proposed algorithm for the enhanced target detection and feature extraction as well as mitigation of the wall effect in the cross-polarization. Numerical and experimental results are presented to show the effectiveness and high efficiency of the proposed algorithm for 3-D real-time TWRI.
  • Keywords
    Green´s function methods; fast Fourier transforms; inverse transforms; radar imaging; radar polarimetry; 3D diffraction tomographic algorithm; 3D polarimetric TWRI; Born approximation; IFFT; dyadic Green function; inverse fast Fourier transform; real-time radar imaging; spatial Fourier transforms; three dimensional radar imaging; through-the-wall radar imaging; Approximation algorithms; Approximation methods; Radar imaging; Real-time systems; Time domain analysis; Tomography; Diffraction tomography (DT); Green´s function; polarimetric imaging; real-time; three-dimensional (3-D) imaging; through-the-wall radar imaging (TWRI);
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2012.2227059
  • Filename
    6392938