Title :
The α-β-Γ tracking filter with a noisy jerk as the maneuver model
Author_Institution :
GE Aerosp. Moorestown, NJ
fDate :
4/1/1993 12:00:00 AM
Abstract :
The optimal gains and covariances of an α-β-Γ filter are computed. It is assumed that the maneuver model is an uncorrelated zero mean noise jerk. Input to the tracking filter is position updates. The measurement errors are modeled as uncorrelated zero mean noise processes
Keywords :
Kalman filters; filtering and prediction theory; measurement errors; noise; position measurement; tracking; α-β-Γ tracking filter; Kalman filter; constant acceleration trajectory; covariances; maneuver model; measurement errors; optimal gains; position updates; uncorrelated zero mean noise jerk; Acceleration; Aerodynamics; Equations; Error correction; Filters; Mathematical model; Measurement errors; Noise measurement; Steady-state; Stochastic systems; Time measurement; Trajectory;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
