The aim of this paper is to improve the tracking performance of an aeronautical object with manoeuvring flight. The conventional Kalman filter may induce 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 first is based on the covariance matching technique and the other on the Kumar adaptive Q theory. These tracking algorithms both give satisfactory performance from the simulation results. The comparison between the performance of these two tracking algorithms is also presented.
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