• DocumentCode
    2563420
  • Title

    A Fuzzy Fusion in Multitarget Tracking with Multisensor

  • Author

    Chen, Xiaohui ; Zhang, Yang

  • fYear
    2007
  • fDate
    15-19 Dec. 2007
  • Firstpage
    152
  • Lastpage
    156
  • Abstract
    In the system of the multi-sensors multi- targets tracking, the data received from sensor measurements may be imprecise, incomplete and ambiguous because of the noise, which may cause the incorrect correlation. Here, according to the position error, velocity error and acceleration error between true value and estimation of the moving targets, a fuzzy track to track fusion algorithm for the multi-sensor multi-target tracking was proposed based on the fuzzy inference. The algorithm were tested by the real data from the different sonar sensor measurements. The results show that the approaches are good and valid, and well for the distributed multi-sensor multi-target tracking. The accuracy of tracking in clutter is high.
  • Keywords
    Acceleration; Computational intelligence; Fuzzy logic; Gaussian noise; Inference algorithms; Mathematical model; Neural networks; Noise measurement; State estimation; Target tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Security, 2007 International Conference on
  • Conference_Location
    Harbin, China
  • Print_ISBN
    0-7695-3072-9
  • Electronic_ISBN
    978-0-7695-3072-7
  • Type

    conf

  • DOI
    10.1109/CIS.2007.124
  • Filename
    4415321