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基于随机点模拟方法分析空间目标危险交会
引用本文:苍中亚,薛炳森,程国生,朱小露.基于随机点模拟方法分析空间目标危险交会[J].空间科学学报,2015,35(5):596-602.
作者姓名:苍中亚  薛炳森  程国生  朱小露
作者单位:1.南京信息工程大学 空间天气研究所 南京 210044
基金项目:宇航动力学国家重点实验室开放基金项目资助
摘    要:基于SGP4模型在空间目标轨道预报中的应用, 在预报的位置速度信息和误差 信息基础上, 提出一种空间两目标碰撞预警的分析方法, 即随机点模拟方法. 与传统的交会平面积分方法相比, 其主要有两点不同: 一是在误差信息中考虑 了误差均值的影响, 即误差椭球不再以预报位置为中心分布; 二是在分析方 法上侧重于真实模拟可能的交会情形, 而不忽略任一方向上的误差. 通过算例分 析验证了该方法的可行性, 结果表明误差均值的非零性使得最大碰撞概率不 一定出现在预报的最近交会距离时刻. 同时仿真结果还表明, 两目标在相对速 度方向上的相对位置仍然存在误差, 这可能造成随机点模拟的碰撞概率计算 值较交会平面积分方法偏小. 不同的碰撞预警分析方法对应不同的预警门限, 根据文中实例, 初步确定10-6为随机点模拟方法的红色预警值. 

关 键 词:TLE根数    SGP4模型    误差椭球    碰撞预警
收稿时间:2014-09-17

Dangerous Conjunction Analysis of Space Objects Based on Random Point Simulation Method
Institution:1.Institute of Space Weather, Nanjing University of Information Science and Technology, Nanjing 210044
Abstract:The position, velocity and prediction error information of space objects can be obtained by using two-line element set and SGP4 model. Based on these results, a new method to calculate the collision probability is proposed, which is called the random point simulation method. There are two differences when this new method is compared with the traditional method of integral in conjunction plane. One is to concern the effects of error bias, which means the error ellipsoid no longer center on the predicted position. The other is to focus on simulating all possible conjunction situations and do not ignore error in each direction. The feasibility of this method is verified by analyzing cases, and results show that the maximum collision probability no longer appears in the time of closest approach because the error bias is not zero. Meanwhile, simulation results indicate that the positional relationship between two objects has also deviation in the direction of relative velocity, so the collision probability by random point simulation method is smaller than that of integral method. Different collision warning methods correspond to different warning thresholds, and 10-6 can be determined as the warning threshold of random point simulation method based on the case analysis in this paper. 
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