• DocumentCode
    2292265
  • Title

    Tracking Multi-target And Target Types Using Random Sets

  • Author

    TIAN, Shu-Rong ; He, You ; Xiao Yi

  • Author_Institution
    Dept. of Basic Sci., Naval Aeronaut. Eng. Inst., Yantai
  • fYear
    2006
  • fDate
    16-19 Oct. 2006
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    When tracking unknown number of targets, or number of targets varying with time, random finite sets are natural representations of multi-target sets and observations that allow multi-sensor multi-target filtering to fit in the unifying random set framework for data fusion. This paper presents a framework for tracking multiple targets and target types using random finite sets. Simulations are also presented to demonstrate the performance in tracking a varying number of targets
  • Keywords
    random functions; sensor fusion; set theory; target tracking; data fusion; random finite sets; target tracking; Aerodynamics; Aerospace engineering; Electronic mail; Filtering; Fusion power generation; Helium; Particle filters; Particle tracking; Target tracking; Time measurement; Multi-target Tracking; Particle Filter; Probability Hypothesis Density; Random Sets; Sequential Mont Carlo;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar, 2006. CIE '06. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    0-7803-9582-4
  • Electronic_ISBN
    0-7803-9583-2
  • Type

    conf

  • DOI
    10.1109/ICR.2006.343258
  • Filename
    4148364