LIU Yongjian, JIANG Yong.   Precision Analysis of the BDS GEO/IGSO/MEO Observables and Stochastic Model Refining[J]. GNSS World of China, 2018, 43(1): 1-6. DOI: 10.13442/j.gnss.1008-9268.2018.01.001
Citation: LIU Yongjian, JIANG Yong.   Precision Analysis of the BDS GEO/IGSO/MEO Observables and Stochastic Model Refining[J]. GNSS World of China, 2018, 43(1): 1-6. DOI: 10.13442/j.gnss.1008-9268.2018.01.001

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

  • 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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