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提出基于自适应滤波的编队卫星实时相对定轨算法,利用2005-12-09—10两颗GRACE(Gravity Recovery and Climate Experiment)卫星的GPS(Global Positioning System)实测数据进行实时相对定轨试验计算,采用JPL(Jet Propulsion Laboratory)轨道对试验结果外部检核,结果表明:1自适应滤波相对定轨通过自适应因子,可以较好地平衡编队卫星的观测信息和相对动力学信息,其相对定轨结果精度优于Kalman滤波相对定轨结果;2自适应滤波相对定轨结果随着星间基线缩短而精度提高;3两颗GRACE卫星采用单频伪距和广播星历进行自适应滤波相对定轨,可以得到精度优于6cm的星间基线.
A real-time relative orbit determination algorithm of formation satellite based on adaptive filtering is proposed. Real-time relative orbit determination experiment is carried out using the measured data of two Global Positioning System (GRACE) GRACE (Gravity Recovery and Climate Experiment) The results of the external inspection of the test results using the JPL (Jet Propulsion Laboratory) orbit show that: 1 adaptive filtering relative orbit determination by adaptive factors, can better balance the formation of satellite observations and relative dynamics information, the relative orbit The accuracy of the results is better than Kalman filter relative orbit determination results; 2 the relative orbit determination result of adaptive filtering is improved with the shortening of inter-satellite baselines; 3 the two GRACE satellites use adaptive single-frequency pseudorange and broadcast ephemeris for relative orbit determination , You can get better than the 6cm inter-satellite baseline accuracy.