基于预警卫星观测数据的弹道重构算法研究

地球静止轨道顶警卫星弹道重构是弹道导弹防御的一个重要环节，利用基于Stirting插值逼近的非线性KALMAN滤波方法，对凝视型弹道重构算法进行了研究。在对导弹动力学模型分析的基础上，建立了弹道状态方程组和观测方程组，并对滤波计算中的初值选取，参数变换进行了讨论。滤波计算中的初值选取所用的多项式拟合方法，可以进行扫描型弹道重构的实现，但精度不高。通过仿真计算，对算法的可行性进行了验证。

The Research on trajectory estimation algorithm based on observation data of geostationary early-warning satellite

Trajectory estimation by geostationary early warning satellite is important in ballistic missile defense.Staring trajectory estimation algorithm is discussed with the help of nonlinear KALMAN filter based on Stirling interpolate approximation.The state transition and observation equations are modeled with the analysis of missile dynamic model.The polynomial approximation method is proposed to obtain initial value of filter,and this approximation method can be used to realize scanning trajectory estimation.Staring trajectory estimation algorithm is verified by simulation.Based on the research,it is considered that the precision of trajectory estimation can be improved with the priori missile information.