• DocumentCode
    484207
  • Title

    Space-Frequency Ultrawideband Time-Reversal Imaging Method as Applied to Subsurface Objects

  • Author

    Yavuz, Mehmet E. ; Teixeira, Fernando L.

  • Author_Institution
    ElectroScience Lab. & Dept. of Electr. & Comput. Eng., Ohio State Univ., Columbus, OH
  • Volume
    3
  • fYear
    2008
  • fDate
    7-11 July 2008
  • Abstract
    We present a time-reversal (TR) ultrawideband (UWB) imaging technique based on the utilization of joint spatial and UWB frequency data acquired by limited-aspect antenna arrays. The targets are assumed to be discrete scatterers embedded in homogeneous or random inhomogeneous subsurface media. A singular value decomposition (SVD) is applied to space-frequency multistatic scattering data matrices indexed by sensor location and frequency data. The resulting singular values and vectors are employed to construct time-domain excitation signals for UWB imaging of the embedded scatterer(s) via synthetic backpropagation.
  • Keywords
    buried object detection; geophysical signal processing; remote sensing; UWB imaging; embedded scatterers; homogeneous subsurface media; limited-aspect antenna array data; multistatic scattering data matrices; random inhomogeneous subsurface media; singular value decomposition; space-frequency ultrawideband time-reversal imaging method; subsurface objects; synthetic backpropagation; time-domain excitation signals; ultrawideband imaging technique; Antenna arrays; Frequency; Matrix decomposition; Nonhomogeneous media; Random media; Scattering; Singular value decomposition; Time domain analysis; Ultra wideband antennas; Ultra wideband technology; DORT; MUSIC; space-frequency imaging; time-reversal;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
  • Conference_Location
    Boston, MA
  • Print_ISBN
    978-1-4244-2807-6
  • Electronic_ISBN
    978-1-4244-2808-3
  • Type

    conf

  • DOI
    10.1109/IGARSS.2008.4779270
  • Filename
    4779270