Performance evaluation for target tracking systems

Guang Lin Pan, Yan Liang, Bao Ting Liu, Feng Yang, Quan Pan

Research output: Contribution to journalArticlepeer-review

Abstract

Different from simulation-based algorithm analysis, real system evaluation needs to determine the tracks' source derivations. A performance evaluation method for real target tracking systems was proposed. Firstly, the statistical distance between tracks and measurements was formulated and the source derivations of the tracks at each scan were further confirmed. Then, the source derivations of the tracks were determined based on maximum likelihood estimation principle. Besides, three indexes were proposed, including Track Initiation Probability, False Track Initiation Probability and Track Lost Probability, and their formulations were given respectively. In the simulation of Over-the Horizon Radar target tracking, IMMPDA algorithm was considered. The result of method gets in low target probability and high false alarm environment is consistent with that of simulation-based algorithm analysis.

Original languageEnglish
Pages (from-to)5773-5777
Number of pages5
JournalXitong Fangzhen Xuebao / Journal of System Simulation
Volume19
Issue number24
StatePublished - 20 Dec 2007

Keywords

  • Performance evaluation
  • Performance index
  • Real target tracking system
  • Tracks' source derivation

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