• DocumentCode
    712886
  • Title

    Target assignment and power allocation for LPI radar networks

  • Author

    Mehdi Hosseini Andargoli, Seyed ; Malekzadeh, Javad

  • Author_Institution
    Fac. of Electr. & Comput. Eng., Babol Noshirvani Univ. of Technol., Babol, Iran
  • fYear
    2015
  • fDate
    3-5 March 2015
  • Firstpage
    234
  • Lastpage
    239
  • Abstract
    In this paper, power allocation and target assignment is considered as a promising way to obtain low probability of interception (LPI) in the radar network. Spatial diversity in the netted radars gives us a flexibility to control power intelligently and radar assignment dynamically in such a way that not only detection performances satisfied but LPI characteristics of the network are optimized. We formulate this problem as a non-convex and nonlinear optimization problem associated with detection performance constraints. The optimum solution of general problem is complicated and cannot be solved mathematically. We relaxed problem to more tractable form for the networks with low complexity in which combination of radar´s information cannot be handled. In the considered scenario, for each target only one radar is assigned and each assigned radar can only transmit one target´s information. We propose a simple framework to obtain optimum power allocation and radar assignment strategy due to spatial diversity of netted radars. The framework has lower complexity compared with optimum exhaustive search algorithm and simulation results show effectiveness of proposed algorithm in satisfaction of detection performances and improvement of LPI specification of radar network.
  • Keywords
    concave programming; nonlinear programming; power control; probability; radar target recognition; LPI radar networks; intelligently power control; low probability of interception; netted radars; nonconvex optimization problem; nonlinear optimization problem; power allocation; radar assignment; search algorithm; spatial diversity; target assignment; Optimization; Radar antennas; Radar cross-sections; Radar detection; Radar tracking; Resource management; Low Probability of Interception; Power Allocoation; Radar Assignment; Radar Network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence and Signal Processing (AISP), 2015 International Symposium on
  • Conference_Location
    Mashhad
  • Print_ISBN
    978-1-4799-8817-4
  • Type

    conf

  • DOI
    10.1109/AISP.2015.7123480
  • Filename
    7123480