Aircraft Altitude Prediction Using Mode C Measurements
Morten P. Topland, Oddvar Hallingstad · 7th AIAA ATIO Conf, 2nd CEIAT Int'l Conf on Innov and Integr in Aero Sciences,17th LTA Systems Tech Conf; followed by 2nd TEOS Forum · 2007
in estimating the vertical velocity of the aircraft which influences altitude prediction. Altitude prediction is important in conflict alarm systems. This problem is investigated and several Bayesian estimators, including the Interacting Multiple Model (IMM) algorithm, are tuned and tested on real measurement data for a performance comparison. It is shown that a single model filter with maneuver handling using the Unscented Kalman Filter is superior to IMM estimators and Kalman filters for long term predictions.