• DocumentCode
    177695
  • Title

    Radar tomography using MIMO noise radar and antenna with beam synthesis

  • Author

    Lukin, Kostyantyn ; Vyplavin, Pavlo ; Kudriashov, V. ; Lukin, S. ; Palamarchuk, Vladimir ; Shkvarko, Yu. ; Sushenko, P. ; Zaets, N.

  • Author_Institution
    LNDES, Usikov Inst. for Radiophys. & Electron., Kharkiv, Ukraine
  • fYear
    2014
  • fDate
    4-9 May 2014
  • Firstpage
    798
  • Lastpage
    800
  • Abstract
    Conventional SAR generates 2D image using combination of range compression and 1D aperture synthesis. The range resolution of such approach is determined by the signal spectrum width, while cross-range resolution is defined by the synthetic aperture length. 2D aperture synthesis implies movement of antenna along 2D aperture and cross-range compression technique in both dimensions to obtain resolution along two angular coordinates. In combination with pulse compression it gives 3D resolution. We suggest using MIMO principle in combination with SAR approach to generate 3D coherent radar images. For that, two linear synthetic apertures used - one for transmit antenna and another for receive one. Spatial scanning with those antennas is performed in the way which provides data similar to the ones obtained from 2D scanner. The paper describes the approach and presents results of its experimental test using Ka-band noise waveform ground based SAR.
  • Keywords
    MIMO radar; radar imaging; synthetic aperture radar; 2D aperture synthesis; 2D image; 3D coherent radar images; MIMO noise antenna; MIMO noise radar; MIMO principle; SAR approach; aperture synthesis; beam synthesis; cross range compression technique; cross range resolution; linear synthetic apertures; pulse compression; radar tomography; signal spectrum width; synthetic aperture length; Apertures; Noise; Radar antennas; Radar imaging; Three-dimensional displays; Tomography; 3D Imaging; MIMO; Noise Radar; Radar Tomography; SAR;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
  • Conference_Location
    Florence
  • Type

    conf

  • DOI
    10.1109/ICASSP.2014.6853706
  • Filename
    6853706