Maneuver target tracking with an acceleration estimator using target past positions

Masataka Hashirao, Tetsuya Kawase, Iwao Sasase

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)


Target tracking filters with a low computational load are desired in air traffic control systems in order to simultaneously search and track multiple aircraft. The applications of the α-β filter and the Kalman filter have been widely studied. Although excellent tracking accuracy can be obtained for linear motion by the α-β filter, the tracking accuracy degrades for a maneuvering target, the difference between the predicted position and the actual target position becomes large, and mistracking where the target is lost may occur. While there has been research on filters that estimate the acceleration, these filters could only be used when there is little maneuvering and the computational load is huge. In this research, we propose a method that adds an acceleration term during turning motion as the tracking filter for maneuvering motion and not just linear motion and estimates the turning acceleration from past estimated positions of the target. We also reduce the tracking errors for a maneuvering target. We use simple trajectories of the target in computer simulations and compare the proposed method to conventional filters to demonstrate its effectiveness. And we evaluate the performance of the proposed acceleration estimation method.

Original languageEnglish
Pages (from-to)29-37
Number of pages9
JournalElectronics and Communications in Japan, Part I: Communications (English translation of Denshi Tsushin Gakkai Ronbunshi)
Issue number12
Publication statusPublished - 2002


  • Maneuvering target
  • Radar tracking
  • α-β filter

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering


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