• DocumentCode
    3770805
  • Title

    Power optimization for joint target position and velocity estimation in MIMO radar networks

  • Author

    Ning Zhang;Hu Song;Jun Tang;Yuan Shen

  • Author_Institution
    Nanjing Marine Radar Institute, Nanjing, China
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Optimized power allocation among the transmitters in MIMO radar networks has a potential to conserve a significant amount of energy without loss of target-estimation performance. In this paper, we develop power allocation strategies for joint target position and velocity estimation in a distributed MIMO radar network. Transmitting power optimization algorithms are proposed for predetermined parameter estimation accuracy requirements in terms of the equivalent Fisher information matrix (EFIM). These algorithms aim to minimize the power budget while guaranteeing the estimation accuracy with or without the presence of parameter uncertainties. Numerical results show that the proposed algorithms can achieve appreciable energy savings.
  • Keywords
    "Resource management","MIMO radar","Optimization","Robustness","Estimation","Transmitters","Uncertainty"
  • Publisher
    ieee
  • Conference_Titel
    Information, Communications and Signal Processing (ICICS), 2015 10th International Conference on
  • Type

    conf

  • DOI
    10.1109/ICICS.2015.7459928
  • Filename
    7459928