Volume 4 Issue 4
Oct.  2015
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Article Navigation >  Journal of Radars  > 2015  >  4(4): 431-438
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Citation: Liu Yuan, Chen Jie, Fang Guang-you, Yin He-jun. Microwave Imaging of Layered Medium Based on Phase Shift Migration(in English)[J]. Journal of Radars, 2015, 4(4): 431-438. doi: 10.12000/JR14152
shu

Microwave Imaging of Layered Medium Based on Phase Shift Migration(in English)

DOI: 10.12000/JR14152
  • 1.

    ① Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China;

  • 2.

    Key Laboratory of Electromagnetic Radiation and Sensing Technology, Chinese Academy of Sciences, Beijing 100190, China;

  • 3.

    ③ University of Chinese Academy of Sciences, Beijing 100049, China;

  • 4.

    Chinese Academy of Sciences, Beijing 100864, China

Funds:

Supported by the National High Technology Research and Development Program of China (863 Program) (2012AA061403).

  • Received Date: 2015-12-11
  • Rev Recd Date: 2015-03-20
  • Publish Date: 2015-08-28
    Abstract

  • The classical Frequency-Wavenumber (F-K) imaging algorithm can efficiently reconstruct the image for homogeneous medium; however, it cannot generate focused and properly-located images for layered medium. Considering the electrical properties of individual layer and the discontinuity between layers, the phase shift migration for layered medium is derived in this paper. The analysis on the backscattered transfer function shows that some assumptions and mathematical approximations are applied in the proposed method. The numerical and experimental results are presented to show the feasibility of the proposed method for real-time imaging of layered medium.

     

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    • References(18)
  • [1]
    Daniels DJ. EM Detection of Concealed Targets[M]. Hoboken, New Jersey, US: John Wiley Sons, Inc.,
    [2]
    2010: 1-19. Sheen DM, McMakin DL, and Hall TE. Three-dimensional millimeter-wave imaging for concealed weapon detection[J]. IEEE Transactions on Microwave Theory and Techniques, 2001, 49(9): 1581-1592.
    [3]
    Li L, Zhang W, and Li F. Derivation and discussion of the SAR migration algorithm within inverse scattering problem: theoretical analysis[J]. IEEE Transactions on Geoscience and Remote Sensing, 2010, 48(1): 415-422.
    [4]
    Gilmore C, Jeffrey I, and LoVetri J. Derivation and comparison of SAR and frequency-wavenumber migration within a common inverse scalar wave problem formulation[J]. IEEE Transactions on Geoscience and Remote Sensing, 2006, 44(6): 1454-1460.
    [5]
    Stolt RH. Migration by Fourier transform[J]. Geophysics, 1978, 43(1): 23-48.
    [6]
    Ahmad F, Amin MG, and Kassam SA. Synthetic aperture beamformer for imaging through a dielectric wall[J]. IEEE Transactions on Aerospace and Electronic Systems, 2005, 41(1): 271-283.
    [7]
    Jeong P, Han S, and Kim K. Efficient time-domain back projection algorithm for penetrating imaging radar[J]. Microwave and Optical Technology Letters, 2011, 53(10): 2406-2411.
    [8]
    Zhang W. Two-dimensional microwave tomographic algorithm for radar imaging through multilayered media[J]. Progress in Electromagnetics Research, 2014, 144: 261-270.
    [9]
    Gazdag J. Wave equation migration with phase-shift method[ J]. Geophysics, 1978, 43(7): 1342-1351.
    [10]
    Yilmaz O. Seismic Data Processing[M]. Tulsa, OK, US: Society of Exploration Geophysicists, 1987: 250-267.
    [11]
    Chow WC. Waves and Fields in Inhomogeneous Media[M]. New York, NY, US: the Institute of Electrical and Electronics Engineers, Inc., 1995: 45-79.
    [12]
    Chew WC and Chen S. Response of a point source embedded in a layered medium[J]. IEEE Antennas and Wireless Propagation Letters, 2003, 2(1): 254-258.
    [13]
    Zhang W and HoorfarA. Three-dimensional real-time through-the-wall radar imaging with diffraction tomographic algorithm[J]. IEEE Transactions on Geoscience and Remote Sensing, 2013, 51(7), 4155-4163.
    [14]
    Zhang W and Hoorfar A. Two-dimensional diffraction tomographic algorithm for through-the-wall radar imaging[J]. Progress in Electromagnetics Research B, 2011, 31: 205-218.
    [15]
    Taner MT and Koehler F. Velocity spectra-digital computer derivation and applications of velocity functions[J]. Geophysics, 1969, 34(6): 859-881.
    [16]
    Kosmas P and Rappaport C. Time reversal
    [17]
    with the FDTDmethod for microwave breast cancer detection[J]. IEEE Transactions on Microwave Theory and Techniques, 2005, 53(7): 2317-2323.
    [18]
    Aftanas IM. Through-wall imaging with UWB radar system[ D]. [Ph.D. dissertation], Technical Universityof Kosice, 2009: 56-66.
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      沈阳化工大学材料科学与工程学院 沈阳 110142

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