• DocumentCode
    12346
  • Title

    A Joint Scheme of Antenna Selection and Power Allocation for Localization in MIMO Radar Sensor Networks

  • Author

    Botao Ma ; Haowen Chen ; Bin Sun ; Huaitie Xiao

  • Author_Institution
    Coll. of Electron. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha, China
  • Volume
    18
  • Issue
    12
  • fYear
    2014
  • fDate
    Dec. 2014
  • Firstpage
    2225
  • Lastpage
    2228
  • Abstract
    We consider a joint scheme of antenna subset selection and optimal power allocation for localization in multiple-input-multiple-output radar sensor networks. Sensor management is accomplished by solving a constrained optimization problem that is formulated to minimize the error in estimating target position, while conserving transmitter number and power budget. We propose a suboptimal scheme for approximately solving this problem. The scheme separates the optimization into two steps, in which each step is transformed into a second-order cone programming (SOCP) by convex relaxation. Simulation results show that the proposed suboptimal two-step SOCP solution provides better localization performance for other strategies and is close to the optimal solution with a simulated annealing technique.
  • Keywords
    MIMO radar; convex programming; radar antennas; radar transmitters; sensor placement; simulated annealing; wireless sensor networks; MIMO radar sensor network; SOCP; antenna selection scheme; constrained optimization problem; convex relaxation; multiple input multiple output radar sensor network localization; power allocation scheme; power budget; second-order cone programming; sensor management; simulated annealing technique; Antennas; MIMO radar; Optimization; Power distribution; Radar cross-sections; Resource management; Target localization; antenna subset selection (ASS); multiple-input-multiple-output (MIMO) radar; multiple-input-multipleoutput (MIMO) radar; optimal power allocation (OPA);
  • fLanguage
    English
  • Journal_Title
    Communications Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1089-7798
  • Type

    jour

  • DOI
    10.1109/LCOMM.2014.2365206
  • Filename
    6936846