Current statistic model and adaptive tracking algorithm based on strong tracking filter

Xiao Jun Fan*, Feng Liu, Yong Qin, Jun Zhang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

33 Citations (Scopus)

Abstract

A new adaptive maneuvering target tracking algorithm STF-CS is presented based on the current statistical model (CS). By introducing a fading factor of Strong Tracking Filter (STF), this algorithm improves the adaptive tracking performance greatly when there is a sudden maneuver, and has the same high precision to track common maneuvering targets as the current statistical model and adaptive tracking algorithm. Simulation results show that, when there is only common maneuver the performance of the two algorithms is the same, when there is a sudden maneuver, the performance of STF-CS is much better than the CS.

Original languageEnglish
Pages (from-to)981-984
Number of pages4
JournalTien Tzu Hsueh Pao/Acta Electronica Sinica
Volume34
Issue number6
Publication statusPublished - Jun 2006
Externally publishedYes

Keywords

  • Current statistical model
  • Kalman filter
  • Maneuvering target tracking
  • Strong tracking filter

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