基于方差分量估计的CHAMP重力场恢复方法

CHAMP Gravity Field Recovery Based on Variance Component Estimation

摘要: 基于德国慕尼黑技术大学(TUM)提供的100 d的CHAMP卫星几何法轨道和GFZ提供的加速度计数据,计算出了50×50阶地球重力场模型XISM-CHAMP01,并与EIGEN-CG03C、EIGEN-CHAMP03S、EIGEN2、EIGEN1S、EGM96模型进行了比较。结果表明,XISM-CHAMP01模型精度明显优于相同阶次EGM96模型和EIGEN1S模型,并与EIGEN2模型精度相当。

Abstract: Considering the different precision level of observation arcs due to the influence of space environment and instruments stability,a new method for CHAMP gravity field recovery based on variance component estimation is presented.This method can reasonably determine the weights of different observation arcs and balance their contributions to the estimated potential coefficients.A 50 degree and order gravitational potential model XISM-CHAMP01 is recovered using 100 days' CHAMP kinematic orbits provided by TUM and accelerometer data provided by GFZ.The RMS among XISM-CHAMP01,EIGEN-CG03C,EIGENCHAMP03S,EIGEN2,ENIGN1S and EGM96 are compared.The results show that XISM-CHAMP01 model is more accurate than EGM96 and EIGEN1S model at the same degree and order,and has almost the same accuracy as EIGEN2 model