• DocumentCode
    984394
  • Title

    A three-state Kalman tracker using position and rate measurements

  • Author

    Ramachandra, K.V. ; Mohan, Biju R. ; Geetha, B.R.

  • Author_Institution
    Electron. & Radar Dev. Establ., Bangalore, India
  • Volume
    29
  • Issue
    1
  • fYear
    1993
  • fDate
    1/1/1993 12:00:00 AM
  • Firstpage
    215
  • Lastpage
    222
  • Abstract
    A three-state Kalman tracker is described for tracking a moving target, such as an aircraft, making use of the position and rate measurements obtained by a track-white-scan radar sensor which employs pulsed Doppler processing, such as the moving target detector providing unambiguous Doppler data. The steady-state filter parameters have been analytically obtained under the assumption of white noise maneuver capability. The numerical computations of these parameters are in excellent agreement with those obtained from the recursive Kalman filter matrix equations. The solution for the case when only the range measurements are available is obtained as a special case of this model. Graphs of normalized covariances and gains are presented to illustrate how the solution depends on different parameters
  • Keywords
    Doppler effect; Kalman filters; filtering and prediction theory; numerical analysis; position measurement; radar equipment; radar theory; tracking; white noise; Doppler data; aircraft; gains; graphs; moving target detector; normalized covariances; numerical computations; position measurement; pulsed Doppler processing; rate measurements; recursive Kalman filter matrix equations; steady-state filter; three-state Kalman tracker; track-white-scan radar sensor; white noise; Airborne radar; Aircraft; Doppler radar; Kalman filters; Position measurement; Pulse measurements; Radar measurements; Radar tracking; Sensor phenomena and characterization; Target tracking;
  • fLanguage
    English
  • Journal_Title
    Aerospace and Electronic Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9251
  • Type

    jour

  • DOI
    10.1109/7.249127
  • Filename
    249127