将GPS广播星历算法作为低轨卫星动力学模型的综合定轨方法

A Synthetic Approach for Orbit Determination Considering GPS Broadcast Ephemeris Algorithm as Dnamic Model of LEO

根据GPS广播星历算法的预报特性和自适应抗差滤波原理,提出了一种将GPS广播星历算法作为低轨卫星动力学模型的自适应抗差滤波综合定轨方法。计算结果表明,所提出的自适应抗差滤波综合定轨方法不仅充分利用了几何观测信息,而且通过自适应因子合理地控制了不可靠的广播星历预报信息对滤波解的贡献,有效地保证了定轨的精度和可靠性。

Using Kalman filtering algorithm in GPS-based orbit determination for LEO,we have to deal with an observation mode and a dynamic model.GPS broadcast ephemeris algorithm will be regarded as the dynamic model of kinematic filtering.Firstly,the fitting algorithm for GPS broadcast ephemeris parameters is introduced.Then,the advantages and disadvantages of geometric orbit determination are analyzed.Finally,a new adaptively robust synthetic orbit determination algorithm is developed based on the predicting characteristic of GPS broadcast ephemeris algorithm and the adaptively robust filtering principle.The results show that the adaptively robust synthetic orbit determination algorithm can not only make good use of the geometric observation information but also reasonably adjust the contributions of the geometric observations and ephemeris predicted information to the filtering solution.