The tracking of a manoeuvring object by using an adaptive Kalman filter

The aim of this paper is to improve the tracking performance of an aeronaut ical object with manoeuvring flight. The conventional Kalman filter may ind uce unsatisfactory tracking errors when applied to the manoeuvring object, since the parameters of the filter cannot adapt to the manoeuvring object. For this reason, two adaptive techniques are presented in this paper. The f irst is based on the covariance matching technique and the other on the Kum ar adaptive Q theory. These tracking algorithms both give satisfactory perf ormance from the simulation results. The comparison between the performance of these two tracking algorithms is also presented.