An adaptive target error registration method based on neural networks(NN) and unscented Kalman filter(UKF) was proposed.The method applied UKF training neural Networks. In the case of prior model of bias unknown, the method learned the difference between unregistered target measurements and registered track and estimated the registered error and target state real time. The simulation results showed the effectiveness of this method.
