Time Registration Algorithm Based on Multi-Missiles Cooperative Target Detection

Aiming at the problems of time delay of fusion center in multi-missile cooperative target detection system due to the different starting time of sensor measurement of each missile, a time registration algorithm based on modified gain extended Kalman filter (MGEKF) is introduced. In this algorithm, the extended Kalman filter (EKF) is improved to carry out high-precision unbiased estimation of the target motion state, which is used for time compensation of the target motion state estimation of the missiles, and data fusion is conducted from the estimation registration of the missiles motion state to the fusion moment. The simulation results show that the algorithm can effectively reduce the system time registration error, improve the system time registration accuracy, and provide a good foundation for data fusion.