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
fDate :
4/1/2000 12:00:00 AM
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;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on