A method of trajectory inverse estimation for space targets and performance analysis

Discrimination of the decoys and warhead is one of the key problems in the ballistic missile defense system. As the ground-based radars hardly observe the decoy release, it is of profound significance to investigate the ballistic trajectory inverse technology of space target. In this paper, a method of inverse technology based on two-object movement theory of midcourse ballistic trajectory is presented firstly. An Extended Kalman filter algorithm is then proposed to preprocess the data of the ballistic trajectory. The new algorithm shows a better performance comparing to the traditional least squares filter algorithm. Finally, some simulations are carried out to analyze the estimation error, considering some factors such as radar measurement error and radar parameters.