导航卫星星载自主轨道预报技术  

On-Board Autonomous Orbit Prediction Algorithm for Navigation Satellites

作　　者：王海红[1] 陈忠贵[1] 初海彬[1] 武向军[1] 郑晋军[1] 

机构地区：[1]中国空间技术研究院总体部,北京100094

出　　处：《宇航学报》2012年第8期1019-1026,共8页Journal of Astronautics

基　　金：863计划课题(2009AA12Z302)

摘　　要：全球导航星座自主导航技术对卫星自主轨道预报精度和计算速度提出了新的高要求,结合地面长期轨道预报精度现状和星载计算机性能,提出一种基于地面上注长期电文的卫星自主轨道预报技术。该技术的主要特点有二:首先,充分利用地面上注电文的高精度和高凝练度,可兼顾参考星历的高精度和节省星上存储资源;其次,选用状态转移的星上分析解算法,与地面上行注入、星上存储的方式相比,可大大节约星地上行数据量、星上数据存储量和计算量。通过仿真试验对计算资源、存储资源消耗和预报精度作了统计分析,结果表明,采用该技术进行星上自主轨道预报,计算资源占用少、计算速度快、预报精度高,该技术对于导航星座自主导航总体技术有着重要应用价值。Autonomous navigation technique of Global Navigation Constellation presents a new high requirement for autonomous orbit prediction accuracy and computing speed. Combining the ground long-term orbit prediction accuracy and the performance of onboard computer, a sort of autonomous orbit prediction technique based on long-term navigation message uploaded from the ground is presented in this paper. The technique has two main features： Firstly, it can make full use of the high accuracy and high conciseness of navigation message uploaded from the ground, and gives consideration to both the high accuracy of reference ephemeris and save of onboard storage resources. Secondly the analytical solution algorithm of onboard state transition matrix can significantly save the amount of satellite-ground uplink data, onboard data storage and computational effort compared with the ground-uploaded and onboard-stored way. Computional resources, consumption of storage resources, and prediction accuracy are statistically analyzed by the simulation, and the results show that onboard autonomous orbit prediction using this technique occupies less computional resources, the computing speed is fast and prediction accuracy is high. The autonomous orbit prediction technique has important application value in autonomous navigation of global navigation satellite constellation.

关 键 词：导航卫星 自主轨道预报 状态转移矩阵 

分 类 号：V448.224[航空宇航科学与技术—飞行器设计]