• DocumentCode
    1418253
  • Title

    Sparse Antenna Array Design for MIMO Active Sensing Applications

  • Author

    Roberts, William ; Xu, Luzhou ; Li, Jian ; Stoica, Petre

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Florida, Gainesville, FL, USA
  • Volume
    59
  • Issue
    3
  • fYear
    2011
  • fDate
    3/1/2011 12:00:00 AM
  • Firstpage
    846
  • Lastpage
    858
  • Abstract
    In active sensing applications, MIMO systems permit increased flexibility for transmit beampattern design, via waveform diversity, compared to phased-array approaches. When uniform arrays are not mandated, additional degrees of freedom for transmit beampattern design can be obtained via sparse array design considerations. Herein, we extend the motivation behind sparse receive array methodologies to that of sparse MIMO transmit array design. We propose a cyclic approach to MIMO transmit array design that can be used to approximate desired transmit beampatterns. Furthermore, we illustrate how this iterative approach can be adapted to design sparse receive antenna arrays using both vector and matrix weighting techniques.
  • Keywords
    MIMO communication; antenna arrays; iterative methods; matrix algebra; receiving antennas; transmitting antennas; MIMO active sensing; MIMO transmit array design; iterative approach; matrix weighting techniques; phased-array approaches; sparse antenna array design; sparse receive array methodology; transmit beam pattern design; vector weighting techniques; waveform diversity; Array design; MIMO; phased-array; receive beamforming; transmit beamforming; waveform diversity;
  • fLanguage
    English
  • Journal_Title
    Antennas and Propagation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-926X
  • Type

    jour

  • DOI
    10.1109/TAP.2010.2103550
  • Filename
    5680595