Regression modelling of trajectory measurement data was examined as a means for improving the performance of aircraft trajectory tracking and prediction. Regression models were used for adaptively removing measurement noise from trajectory observations and extrapolating trajectory measurements. A comparative study was done between three models of aircraft dynamics used in an extended Kalman filter: a strictly translational model, an attitude/translation model, and an attitude/translation model that uses vehicle specific inertial characteristics. Adaptive regression models were used for measurement accuracy enhancement. Comparisons were also made between errors resulting from position and attitude predictions using Runge-Kutta integration and extrapolated regression models....Tracking, Trajectory, Kalman filter, Estimation, Regression, Trackers.
Aircraft Trajectory Tracking and Prediction
1992
51 pages
Report
Keine Angabe
Englisch
Aircraft Trajectory Tracking and Prediction
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