• DocumentCode
    1882305
  • Title

    Transmit beampattern synthesis for sub-arrayed MIMO radar

  • Author

    Wang, Wei ; Ma, Yuehua ; Li, Xin

  • Author_Institution
    Dept. of Autom., Harbin Eng. Univ., Harbin, China
  • fYear
    2012
  • fDate
    12-15 Aug. 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Sub-arrayed multiple-input multiple-output (MIMO) radar is a new architecture of MIMO radar, which can exploit jointly the benefits of the coherent processing gain and waveform diversity, and has received extensive attention of researchers. An approach to synthesize the desired transmit beampattern for sub-arrayed MIMO radar is proposed in this paper. The essence of this approach is that the transmit beampattern is equal to the weighted sum of sub-arrays´ beampatterns. First the beam-pattern of each sub-array with certain steering direction and low side lobe level is obtained by using traditional constrained optimization technique. Then under the constant total transmit energy constraint, convex optimization technique is utilized to design the optimal weight of each sub-array´s beampattern, so that the synthesized beampattern can approximate the desired transmit beampattern exactly. Both analytical and simulation results validate the effectiveness of the proposed approach.
  • Keywords
    MIMO radar; antenna radiation patterns; optimisation; transmitting antennas; coherent processing gain; constant total transmit energy constraint; constrained optimization; convex optimization; multiple-input multiple-output radar; steering direction; sub-arrayed MIMO radar; transmit beampattern synthesis; waveform diversity; weighted sum; Arrays; MIMO; MIMO radar; Radar antennas; Transmitting antennas; Vectors; MIMO radar; convex optimizationt; sub-array; transmit beampattern synthesis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, Communication and Computing (ICSPCC), 2012 IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4673-2192-1
  • Type

    conf

  • DOI
    10.1109/ICSPCC.2012.6335641
  • Filename
    6335641