卫星观测值精度分析及随机模型精化

  Precision Analysis of the BDS GEO/IGSO/MEO Observables and Stochastic Model Refining

  • 摘要: 通过MGEX观测网CUT0测站连续10天的观测数据,采用零基线单差模型方法求解单差残差序列,并推导出北斗GEO/IGSO/MEO卫星观测值噪声。统计观测值噪声随高度角变化的情况,采用最小二乘拟合的方法建立精化的高度角随机模型。结果表明:北斗三类卫星的观测精度略有差别,精度从高到低依次为MEO、IGSO、GEO;B1频率相位观测精度约为伪距的129倍,B2频率约为118倍;北斗卫星伪距观测值的精度要稍优于GPS,相位观测值的精度与GPS相当。最后,基线测试结果表明,精化后的随机模型提高了单历元动态定位的精度,平均点位精度提高了42.1%,N、E、U方向各分量RMS改善的百分比分别为:31.6%、15.3%、31.4%。

     

    Abstract: With 10-days observation data of CUT0 station in MGEX observation network, we calculate the single-difference residuals sequence using the method of the zerobaseline single-difference model, and then deducethe noise of GEO/IGSO/MEO observables. The refined elevation stochastic model is established by the leastsquare method through the statisticsof observation noise with the changing of elevation. The results show that:there is slight difference in different kind satellite of BDS about observation precision, and the precision from high to low isMEO, IGSO, GEO; the observation precision of phase is about 129 times higher than pseudorangein B1, and it’s about 118 times in B2; the accuracy of BDS observation is slightly better than GPS. Further, the baseline test results indicate that the refined stochastic model can improvethe accuracy in epoch-by-epoch kinematic positioning. The average point accuracyis increased by 42.1%,and RMS values are increased by15.3%, 31.6%, 31.4% in E, N, U direction respectively.

     

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