• DocumentCode
    353922
  • Title

    Bearings-only tracking using data fusion and instrumental variables

  • Author

    Chan, Y.T. ; Rea, T.A.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., R. Mil. Coll. of Canada, Kingston, Ont., Canada
  • Volume
    1
  • fYear
    2000
  • fDate
    10-13 July 2000
  • Abstract
    This paper presents a recursive Measurement Instrumental Variables Bearings-Only Tracking (MIV-BOT) method for a stationary observer. A smoothing operation directly fuses multi-sensor bearing measurements by exchanging the measurements as the instruments in a pseudo linear estimator. The MIV-BOT formulation produces a smoothed velocity estimate parameterized to any position along the target trajectory, which is found from a single laser range finder measurement. Target range predictions, derived from the smoothed two-state velocity estimate, are then used as range measurements in two parallel Kalman filters. The result is a recursive, passive and unbiased fusion scheme. The theoretical development is investigated by Monte Carlo simulation in short tracking scenarios. Experimental results show that the fusion scheme produces reliable estimates for non-manoeuvring targets.
  • Keywords
    Kalman filters; Monte Carlo methods; parameter estimation; sensor fusion; target tracking; Kalman filters; Monte Carlo simulation; bearings only tracking; data fusion; laser range finder measurement; measurement instrumental variables; multi-sensor bearing measurements; pseudo linear estimator; smoothing operation; stationary observer; two-state velocity estimate; Fuses; Instruments; Laser fusion; Laser theory; Parameter estimation; Position measurement; Smoothing methods; Target tracking; Trajectory; Velocity measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Fusion, 2000. FUSION 2000. Proceedings of the Third International Conference on
  • Conference_Location
    Paris, France
  • Print_ISBN
    2-7257-0000-0
  • Type

    conf

  • DOI
    10.1109/IFIC.2000.862661
  • Filename
    862661