• DocumentCode
    1343105
  • Title

    Steady-state tracking with LFM waveforms

  • Author

    Wong, Wing Kee ; Blair, W.D.

  • Author_Institution
    Georgia Tech. Res. Inst., Georgia Inst. of Technol., Atlanta, GA
  • Volume
    36
  • Issue
    2
  • fYear
    2000
  • fDate
    4/1/2000 12:00:00 AM
  • Firstpage
    701
  • Lastpage
    709
  • Abstract
    The steady-state gains and error covariance are derived for a two-state Kalman filter (i.e., an α, β filter) for tracking with linear frequency modulated (LFM) waveforms. A procedure is given for calculating the α, β gains from the tracking index Γ, the sample period T, and the range-Doppler coupling coefficient Δt. The steady-state error covariance is found to be a simple function of α, β, Δt, T and the measurement noise variance σv2. The expressions for the steady-state gains and error covariance were confirmed numerically with the Kalman filtering equations. A gain scheduling technique for α and β during initialization is also given
  • Keywords
    FM radar; Kalman filters; covariance matrices; least squares approximations; radar tracking; target tracking; tracking filters; Kalman filtering equations; gain scheduling technique; initialization gains; least squares estimation; linear FM waveforms; measurement noise variance; range-Doppler coupling coefficient; sample period; state model; steady-state error covariance; steady-state gains; steady-state tracking; target tracking; tracking index; two-state Kalman filter; Chirp modulation; Equations; Filtering; Frequency modulation; Gain measurement; Kalman filters; Noise measurement; Position measurement; State estimation; Steady-state;
  • fLanguage
    English
  • Journal_Title
    Aerospace and Electronic Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9251
  • Type

    jour

  • DOI
    10.1109/7.845263
  • Filename
    845263