为综合利用导弹飞行试验中的遥外测数据实现弹道重构,提出了一种基于UKF的弹道重构方法。分别采用遥测数据与外测数据建立了系统状态方程与观测方程,采用UKF法对弹道状态进行最优估计。通过数值仿真对比分析了UKF法与传统EKF的误差特性以及重构误差对三类误差源的敏感度。结果表明UKF法的误差收敛速度、稳定性及精度均优于EKF法,UKF法的位置与速度误差对外测数据误差较为敏感,而姿态误差对初始姿态误差较为敏感。

In order to reconstruct trajectory of missile flight test using the test data obtained from telemetry system and trajectory measurement system, a trajectory reconstruction method based on uncented kalman filter (UKF) was presented in this paper. The system state equations and the observation equations were built using the telemetry data and the trajectory measurement data, respectively. The optimal estimation for the trajectory state variables implemented with UKF algorithm. Finally, error characteristic between UKF and traditional extended kalman filter (EKF) the of the reconstruction errors to 3 error sources were analyzed using numerical simulation. The results indicate that UKF shows higher performances in convergence rate, stability and accuracy, and the position errors and the velocity errors are more sensitive to the errors of trajectory measurement, whereas the attitude errors are more sensitive to the initial attitude errors.