Orbit determination and prediction accuracy analysis for a regional tracking network
Orbit determination and prediction accuracy analysis for a regional tracking network
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DOI：
10.1007/s11433-010-4020-3
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发表时间：
2010-06
期刊：
影响因子：
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通讯作者：
Shanshi Zhou;Xiaogong Hu;Bin Wu
中科院分区：
文献类型：
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作者：
Shanshi Zhou;Xiaogong Hu;Bin Wu
中国的COMPASS卫星导航系统依靠区域跟踪网络提供导航服务。受地理边界限制，区域网络只能覆盖中地球轨道（MEO）的30%。如果将全球跟踪网络处理的跟踪数据处理策略用于区域网络，确定和预测的轨道精度无法满足系统要求。轨道预测的两个主要误差源是初始轨道要素的准确性和动力学建模。为了获得更好的预测精度，我们提出了两步定轨和预测策略。对于步骤1，仅估计太阳辐射压力（SRP）参数以及轨道元素和其他参数；对于步骤 2，所有参数均已估计，但 SRP 参数严格受限于其步骤 1 估计值。通过对区域 GPS 网络的数据进行实验，我们得出结论，使用所提出的两步策略进行轨道预测，24 小时预测弧的平均用户距离误差 (URE) 优于 0.6 m。
China’s COMPASS satellite navigation system relies on a regional tracking network to provide navigation services. Limited by its geographic border, the regional network is able to cover only 30% of the medium-earth-orbits (MEO). Accuracy of determined and predicted orbits is not able to satisfy system requirements if the tracking data processing strategy for global tracking network processing is used for the regional network. Two major error sources for orbital prediction are accuracy of initial orbital elements and dynamical modeling. To achieve better prediction accuracy, we propose a two-step orbit determination and prediction strategy. For step 1, only solar radiation pressure (SRP) parameters are estimated along with the orbital elements and other parameters; for step 2, all parameters are estimated but the SRP parameters are tightly constrained to their step 1 estimates. Experimenting with data from a regional GPS network, we conclude for orbital prediction using the proposed two-step strategy, the average user range error (URE) for 24-h prediction arcs is better than 0.6 m.