Precision Analysis of the BDS GEO／IGSO／MEO Observables and Stochastic Model Refining
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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 zerobaseline single-difference model, and then deducethe noise of GEO／IGSO／MEO observables. The refined elevation stochastic model is established by the leastsquare 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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Key words:
- BDS /
- single-difference residuals /
- observationprecision /
- stochastic model
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