• DocumentCode
    1781206
  • Title

    Beamforming technique based on nonuniform signal recovering algorithm in multi-carrier frequency MIMO HF radar

  • Author

    Qiang Yang ; Aihua Liu

  • Author_Institution
    Dept. of Electron. & Inf. Eng., Harbin Inst. of Technol., Harbin, China
  • fYear
    2014
  • fDate
    19-23 May 2014
  • Abstract
    In order to boost HF radar angle resolution and reduce the physical size of array, we adopt multi-carrier frequency in MIMO HFSWR system, which also lead to the benefit of the frequency diversity. Beamforming at receive array is studied in this paper, and thanks to the using of large spaced carrier frequency combination, better angle resolution is obtained by a nonuniform virtual array (a minimally redundant array) with extended aperture than the physical real array, but high slop lobe appears as a drawback. For the purpose of suppressing the slop lobe, a nonuniform signal recovering algorithm based on sparseness-constrained least-squares inversion is proposed in recovering uniform sampling signal, after which the recovered signal is used to beamfoming. Simulation results demonstrate that slop lobe is suppressed successfully.
  • Keywords
    MIMO radar; array signal processing; least squares approximations; radar resolution; signal sampling; HF radar angle resolution; HF surface wave radar; MIMO HFSWR system; array physical size reduction; beamforming technique; frequency diversity; high slop lobe suppression; large spaced carrier frequency; multicarrier frequency MIMO HF radar; nonuniform signal recovering algorithm; sparseness-constrained least-squares inversion; uniform sampling signal recovery; Array signal processing; Arrays; Frequency diversity; MIMO; MIMO radar; Radar antennas; angle resolution; array signal processing; digital beamforming; frequency diversity MIMO;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference, 2014 IEEE
  • Conference_Location
    Cincinnati, OH
  • Print_ISBN
    978-1-4799-2034-1
  • Type

    conf

  • DOI
    10.1109/RADAR.2014.6875728
  • Filename
    6875728