A NEW MODELING FILTERING METHOD FOR TRACKING MANOEUVRING TARGETS

A new modeling filtering method for tracking manoeuvring targets is presented. The manoeuvring accelaration of target is treated as a state variable in the model and then estimated directly. The occurences of target maneuvres are detected by the residue of the Kalman filter. As soon as the manoeuvres found, the algorithm of Kalman filter is restarted so as to adapt the filter to the jumps of manoeuvring accelaration. The enw adaptive filtering method may be thought of optimum in the case. The computing time is much less than that of Moose's method while the filtering accuracy in both cases is nearly the same as shown in the computer simulation.