Kalman tracker with a turning acceleration estimator for maneuvering target tracking

Tetsuya Kawase, Hideshi Tsurunosono, Naoki Ehara, Iwao Sasase

Research output: Contribution to journalConference article

1 Citation (Scopus)

Abstract

A Kalman filter based scheme is proposed for maneuvering target tracking. The proposed scheme estimates the target acceleration input vector directly from the feature of maneuvering target trajectories and updates the simple Kalman tracker by the acceleration estimates. The proposed acceleration estimator provides better maneuver-following capability than an input estimator which uses residue of the Kalman filter. Simulation results for various target profiles are included for a comparison of the performances of our proposed scheme with that of conventional trackers.

Original languageEnglish
Pages (from-to)2057-2061
Number of pages5
JournalIEEE Vehicular Technology Conference
Volume4
Publication statusPublished - 1999 Dec 1
EventProceedings of the 1999 VTC - Fall IEEE VTS 50th Vehicular Technology Conference 'Gateway to 21st Century Communications Village' - Amsterdam, Neth
Duration: 1999 Sep 191999 Sep 22

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

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