• DocumentCode
    1906385
  • Title

    An efficient sensor scheduling for multi-target localisation in MIMO radar networks

  • Author

    Zengfu Wang ; Xuezhi Wang ; Moran, William ; Quan Pan

  • Author_Institution
    Northwestern Polytech. Univ., Xi´an, China
  • fYear
    2015
  • fDate
    24-26 June 2015
  • Firstpage
    1033
  • Lastpage
    1038
  • Abstract
    The problem of optimally selecting a subset of transmitters and receivers from a set of transmitters/receivers in a MIMO radar network which will minimize the localisation error of multiple in-region targets of interest under power constraint is studied. We show that such a problem can be formulated as an estimation variance minimization problem with a submodular variance reduction function. Based on the property of submodularity, a transmitter/receiver selection policy which minimizes the overall estimation covariance is proposed. Together, we also present an algorithm which can efficiently implement this sensor scheduling policy in polynomial time with a guaranteed accuracy compared to the optimal solution. The effectiveness and efficiency of the proposed method are demonstrated using simulated examples.
  • Keywords
    MIMO radar; receivers; scheduling; transmitters; MIMO radar networks; efficient sensor scheduling policy; estimation variance minimization problem; multitarget localisation; polynomial time; submodular variance reduction function; transmitter-receiver selection policy; Algorithm design and analysis; Approximation algorithms; Approximation methods; Linear programming; MIMO radar; Receivers; Transmitters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Symposium (IRS), 2015 16th International
  • Conference_Location
    Dresden
  • Type

    conf

  • DOI
    10.1109/IRS.2015.7226328
  • Filename
    7226328