• DocumentCode
    2345611
  • Title

    An improved Current Statistical Model for maneuvering target tracking

  • Author

    Wang Wei ; Hou Hong-lu

  • Author_Institution
    Coll. of Optoelectron. Eng., Xi´an Technol. Univ., Xi´an
  • fYear
    2009
  • fDate
    25-27 May 2009
  • Firstpage
    4017
  • Lastpage
    4020
  • Abstract
    The commonly accepted current statistical model (CSM) for tracking for maneuvering target has preferable performance, but its performance sharply decreases when target is in weak jerk maneuvering state or target actual acceleration exceeds previous given acceleration limits. An improved model is proposed for overcoming the shortcoming of CSM. The improved model is still based on all equations of original CSM, in order to eliminate the need of the given acceleration limits in the equation for adaptively adjusting the variance of target acceleration, it uses the average velocity variation rate between priori velocity estimate from (k-1)th to (k)th instant and posteriori velocity estimate in a sample interval to approximately express the acceleration disturbance from (k-l)th to (k)th instant, further obtains average statistical acceleration disturbance from (k-l)th to (k)th instant, and at last puts the acceleration disturbance and average statistical acceleration disturbance in the corresponding equation of CSM to adaptively adjust the variance of target acceleration. Simulation results indicate that improved CSM eliminates the dependence to acceleration limits, enlarges the dynamic range of maneuvering target tracking and improves tracking accuracy.
  • Keywords
    acceleration; statistical analysis; target tracking; average statistical acceleration disturbance; average velocity variation rate; current statistical model; maneuvering target tracking; posteriori velocity estimate; priori velocity estimate; target acceleration; Acceleration; Current measurement; Dynamic range; Educational institutions; Equations; Mathematical model; Motion measurement; Stochastic processes; Target tracking; Weapons; adaptive filtering; current statistical model; maneuvering target tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications, 2009. ICIEA 2009. 4th IEEE Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4244-2799-4
  • Electronic_ISBN
    978-1-4244-2800-7
  • Type

    conf

  • DOI
    10.1109/ICIEA.2009.5138963
  • Filename
    5138963