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利用自适应卡尔曼滤波进行星载GPS低轨卫星定轨时,必须解决量测方程中经常存在的粗差问题.在分析以往方法的优缺点后,用拟准检定法来探测和修正量测方程中存在的粗差.该法的优点是辨识粗差准确率高,能同时定位多个粗差.另外,为了克服星载GPS低轨卫星定轨的滤波器可能出现的数值不稳定性及发散现象,还采用了UD分解算法及Sage自适应滤波器.最后用一个CHAMP卫星的模拟算例验证本方法的可行性和有效性.
When using adaptive Kalman filter to determine orbit of satellite orbital low-orbit satellites, it is necessary to solve the problem of gross errors often existing in the measurement equations.After analyzing the advantages and disadvantages of the previous methods, the quasi-calibration method is used to detect and correct the measurement The method has the advantages of high accuracy of identifying gross errors and positioning of multiple gross errors at the same time.In addition, in order to overcome the numerical instability that may occur in the filter of orbit determination for orbital GPS low earth orbit and Divergence phenomenon, UD decomposition algorithm and Sage adaptive filter are also used.Finally, a simulation example of CHAMP satellite is used to verify the feasibility and effectiveness of this method.