一种三星探测数据融合的弹道估计算法

Three Satellites Detection Data Fusion Trajectory Estimation Algorithm

针对天基红外系统(Space Based Infrared System,SBIRS)三星探测弹道估计问题,提出GEO卫星与HEO卫星探测数据融合的估计算法。根据星座构成和探测体制,利用STK分析SBIRS对某一区域的覆盖能力,约43%的时间可以实现三星以上完全覆盖;建立三星探测数据融合算法模型,对导弹目标的运动状态进行实时估计,导弹运动建模采用当前统计模型,数据融合采用集中式结构,滤波算法采用无迹卡尔曼滤波。试验表明,与双星探测弹道估计误差相比,三星探测弹道估计误差显著减小。

Aiming at solving the SBIRS three satellites detection trajectory estimation problem,a data fusion trajectory estimation algorithm based on the GEO satellite and the HEO satellite detection is proposed.According to the SBIRS constellation composition and detection mechanism,the STK is used to analyze the SBIRS coverage capability to a certain area,calculation shows that over three satellites can fully cover it in about 43%of the simulation time.Establishing the three satellites detection data fusion estimation algorithm model to estimate the missile target motion state in real time,the current statistical model is adopted to describe the missile motion state,the centralized structure is adopted to achieve detection data fusion,in addition,the unscented Kalman filter is used as trajectory estimation filter.Simulation results show that,compared with the binary detection trajectory estimation error,the three satellites detection trajectory estimation error is significantly reduced.