• DocumentCode
    1834627
  • Title

    Simulation Test of Filtering with Uncertain Observations for Target Tracking in WSN

  • Author

    Zhiyu Gao ; Hongyan Yu

  • Author_Institution
    Coll. of Inf. Technol., Henan Univ. of Traditional Chinese Med., Zhengzhou, China
  • Volume
    2
  • fYear
    2013
  • fDate
    26-27 Aug. 2013
  • Firstpage
    15
  • Lastpage
    18
  • Abstract
    Aimed at solving the data packet loss problems using target tracking methods in WSN, analyzs several mathematical model and algorithm with uncertain observation filter can achieve it Based on Kalman filter framework, thus establish WSN target tracking filter simulation model, and use the algorithm simulation test was carried out. Simulation results show that the different model under uncertain observation filtering method of filtering effect is different, multi-step packet loss model applied to moving target tracking in WSN has excellent tracking performance.
  • Keywords
    Kalman filters; target tracking; tracking filters; wireless sensor networks; Kalman filter framework; WSN target tracking filter simulation model; data packet loss problem; filtering effect; mathematical model; multistep packet loss model; simulation test; target tracking method; uncertain observation filter; Filtering algorithms; Mathematical model; Maximum likelihood detection; Nonlinear filters; Packet loss; Target tracking; Filtering with Uncertain Observations; Simulation Test; multi-step packet loss model; target tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2013 5th International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-0-7695-5011-4
  • Type

    conf

  • DOI
    10.1109/IHMSC.2013.151
  • Filename
    6642679