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提出一种基于天基光学短弧观测数据集分选同步带目标的方法,引入测量属性和约束域概念。为利用短弧观测数据中的有效信息,以目标和平台的相对距离和距离变化率为坐标轴,建立约束域平面。利用GEO(地球同步轨道)目标运动特点,通过能量约束和假设轨道反演2种方法,从多个目标轨迹中分选出GEO目标。仿真结果表明,该算法可在数据库不完备的条件下通过短弧观测分选出同步轨道卫星。
A method based on the space-based optical short-arc observation data set to sort the target of the timing belt is proposed. The concept of measurement property and constraint field are introduced. In order to make use of the effective information in the observation data of short arcs and establish the bounding plane by taking the relative distance between the target and the platform and the rate of change of the distance as the coordinate axes. GEO (geosynchronous orbit) target motion features are used to separate GEO targets from multiple target trajectories by energy constraints and assumed orbital inversion. The simulation results show that this algorithm can sort out the orbiting satellites by short arc observation under the condition of incomplete database.