摘要
超前瞄准角计算精度和时间极为重要,直接影响系统跟瞄精度和碎片测距距离。在使用极短弧段的光学测角数据定轨时,稀疏观测数据常常导致定轨结果不收敛,进而无法利用传统方法计算出精确的超前瞄准角。提出了一种新的超前瞄准角计算方法,利用卫星平台搭载的惯性传感器和光学探测器所测数据,使用基于Levenberg-Marquardt算法的数据融合算法解算出相对运动的角速度,再结合轨道预报中相对精确的距离信息求解超前瞄准角。在使用极短弧段光学测角数据定轨的工作条件下,新的超前瞄准角计算方法误差小于0.1μrad,收敛时间最短为10 s,均优于传统计算方法,满足激光测距系统的瞄准精度要求。
The calculation accuracy and time of the advance pointing angle are extremely important,which directly affect the tracking accuracy and debris ranging distance of a laser ranging system.When the optical angle measurement data of extremely short arcs is used for orbit determination,the sparse observation data often lead to non-convergence of orbit determination results,and thus it is impossible to calculate the accurate advance pointing angle using a traditional method.A new calculation method for advance pointing angles is proposed.Specifically,the data of the inertial sensor and optical detector carried on the satellite platform is used,and the angular velocity of relative motion is calculated by the data fusion algorithm based on the Levenberg-Marquardt algorithm.Then,the advance pointing angle is obtained by combining the relatively accurate distance information in orbit prediction.Under the working conditions of orbit determination using optical angle measurement data of extremely short arcs,the error of the proposed method is less than 0.1μrad,and the minimum convergence time is 10 s,both of which are superior to those of the traditional calculation method and can meet the pointing accuracy requirements of the laser ranging system.
作者
邵新博
苑自勇
刘夏林
舒嵘
Shao Xinbo;Yuan Ziyong;Liu Xialin;Shu Rong(Key Laboratory of Space Active Optical-Electro Technology,Shanghai Institute of Technical Physics,Chinese Academy of Sciences,Shanghai 200083,China;School of Information Science and Technology,ShanghaiTech University,Shanghai 201210,China)
出处
《光学学报》
EI
CAS
CSCD
北大核心
2022年第18期87-94,共8页
Acta Optica Sinica
基金
中国科学院重点部署资助项目(ZDRW-KT-2019-3)。
关键词
测量
激光测距
空间碎片
超前瞄准
短弧定轨
数据融合
measurement
laser ranging
space debris
advance pointing
short arc orbit determination
data fusion
