• DocumentCode
    2723033
  • Title

    Beampattern optimisation for sub-arrayed MIMO radar for large arrays

  • Author

    Wilcox, David ; Sellathurai, Mathini

  • Author_Institution
    Inst. of Electron., Commun. & Inf. Technol. (ECIT), Queen´´s Univ. of Belfast, Belfast, UK
  • fYear
    2010
  • fDate
    12-15 Oct. 2010
  • Firstpage
    567
  • Lastpage
    572
  • Abstract
    The estimation of the direction of arrival (DOA) of signals in the far-field of an array has been an area of continued research. Recent advances in MIMO radar techniques have led to results whereby prior knowledge of the approximate target locations is used to generate arbitrary signals which are transmitted from an active array to improve DOA estimates. This would be a useful in a scenario such as target tracking. However, this neglects the complexities of the hardware required for larger arrays, and further, the amount of computation required on the transmit side alone. A sub-optimal method employing sub-arrays to reduce hardware requirements, and a low complexity algorithm to determine the optimal steering vectors for the arrays is presented and compared to the optimal full diversity transmit strategy.
  • Keywords
    MIMO radar; array signal processing; direction-of-arrival estimation; optimisation; target tracking; DOA estimates; MIMO radar techniques; active array; approximate target locations; arbitrary signals; beampattern optimisation; direction of arrival; hardware requirements; large arrays; low complexity algorithm; optimal full diversity transmit strategy; optimal steering vectors; sub-arrayed MIMO radar; target tracking; Array signal processing; Complexity theory; Covariance matrix; Direction of arrival estimation; Estimation; MIMO radar; Optimization; Estimation; MIMO Radar; Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Phased Array Systems and Technology (ARRAY), 2010 IEEE International Symposium on
  • Conference_Location
    Waltham, MA
  • Print_ISBN
    978-1-4244-5127-2
  • Electronic_ISBN
    978-1-4244-5128-9
  • Type

    conf

  • DOI
    10.1109/ARRAY.2010.5613312
  • Filename
    5613312