• DocumentCode
    2845666
  • Title

    Performance evaluation of multiple-target tracking systems

  • Author

    Feng, Yang ; Yan, Liang ; Liang, Ye ; Quan, Pan

  • Author_Institution
    Sch. of Autom., Northwestern Polytech. Univ., Xi´´an, China
  • fYear
    2010
  • fDate
    26-28 May 2010
  • Firstpage
    2923
  • Lastpage
    2927
  • Abstract
    To evaluate the performance of real multiple-target tracking systems, instead of their simulative systems, the signal origin of each track should be determined in the different form because the data association in real systems is absolutely unknown. In addition, the calculation of performance indices should be suitable for the case of variable sampling interval. Here the state estimate of each track is projected into measurement space and the statistical distance between this projection and each simultaneous measurement is calculated. Hence the signal origin of that track can be determined via the rule of Nearest Neighbor. Based on the relationship matrix with respect to track and signal origin, a new method to calculate a suit of performance indices for both TAS and TWS modes is proposed. This method has been adopted in our TrackEnviro - a evaluation system for the multiple-target tracking performance of real phased array radar.
  • Keywords
    learning (artificial intelligence); pattern classification; phased array radar; signal sampling; target tracking; TrackEnviro; data association; measurement space; nearest neighbor; performance evaluation; real multiple-target tracking systems; real phased array radar; simulative systems; statistical distance; variable sampling interval; Automation; Nearest neighbor searches; Phased arrays; Radar tracking; Sampling methods; State estimation; Target tracking; Evaluation Systems; Multiple Target Tracking; Performance Evaluation; Phased Array Radar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2010 Chinese
  • Conference_Location
    Xuzhou
  • Print_ISBN
    978-1-4244-5181-4
  • Electronic_ISBN
    978-1-4244-5182-1
  • Type

    conf

  • DOI
    10.1109/CCDC.2010.5498697
  • Filename
    5498697