基于UKF的大气层外飞行器光学卫星跟踪滤波方法

An Approach of Optical Satellites Tracking an Extraatmospheric Vehicle Based on UKF

结合飞行器技术与探测跟踪技术的快速发展,针对飞行器星座探测跟踪应用背景,提出了一种基于UKF的大气层外飞行器光学卫星跟踪滤波方法,解决了合理观测距离情况下对大气层外飞行器光学卫星高精度跟踪与30 s内速度估计误差快速收敛问题,仿真验证了算法的有效性及相较于EKF滤波一定程度的优越性。

With the rapid growth of the technologies of vehicles and tracking,this paper proposes an approach of optical satellites tracking an extraatmospheric vehicle based on unscented Kalman filter(UKF)under the background of satellite constellation tracking vehicles.It solves the problem of optical satellites tracking an extraatmospheric vehicle accurately and velocity estimation error converging rapidly within 30 s in the case of reasonable observation distance.The validity of this algorithm and relative superiority to EKF are verified by simulation.