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Estimation and analysis of differential code biases for BDS3/BDS2 using iGMAS and MGEX observations

机译:使用iGMAS和MGEX观测值估算和分析BDS3 / BDS2的差分码偏差

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摘要

In this contribution, the BDS3 differential code biases (DCBs) are estimated by using the iGMAS and MEGX networks and the performance of both satellite and receiver DCBs for BDS3 is evaluated with the observational data during the period of DOY 1-180, 2017. The characteristics of BDS3 and BDS2 DCB are compared, and the code inter-system biases (ISB) between BDS3 and BDS2 are also analyzed in detail. The comparison of our estimated BDS C2I-C6I and C2I-C7I DCBs and the DLR and IGG products shows a good agreement. For BDS2, the mean differences are within +/- 0.2 ns and STDs are within 0.15ns. However, the BDS3 presents a larger difference, with the mean difference of about 0.35ns, because fewer stations are included in the DLR/IGG processing. The comparison of BDS3 and BDS2 DCB shows that the receiver DCB differences between BDS3 and BDS2 are close to zero for the same network, i.e., iGMAS or MGEX. In other words, there is no significant systematic bias between BDS3 and BDS2 receiver DCB. However, when the iGMAS and MGEX networks are processed together, we found that the receiver DCB differences between BDS3 and BDS2 are not close to zero and present an obvious systematic bias between different networks. The further analysis of code ISB between BDS3 and BDS2 also shows a similar phenomenon. Therefore, the receiver DCB of BDS3 and BDS2 should be separately estimated or calibrated when iGMAS and MGEX networks are processed together. We also analyze the receiver DCB and code ISB between Galileo FOC and IOV satellites and found that there is no such systematic bias between Galileo FOC and IOV satellites. A 180-day analysis of estimated BDS3 and BDS2 DCB shows that the satellite DCBs of BDS3 are fairly stable, with a mean STD of about 0.18ns. For BDS2, the IGSO DCBs are the most stable with a mean STD of about 0.09ns, and the GEO DCBs exhibit the worst stability with a mean STD of about 0.18ns. The mean STDs of receiver DCBs for BDS3 and BDS2 are 0.38 and 0.41ns, respectively, and the STD of receiver DCBs of BDS3 is smaller than that of BDS2 at most stations.
机译:在此贡献中,通过使用iGMAS和MEGX网络估算了BDS3差分代码偏差(DCB),并通过2017年DOY 1-180期间的观测数据评估了BDS3卫星和接收机DCB的性能。比较了BDS3和BDS2 DCB的特性,并详细分析了BDS3和BDS2之间的代码系统间偏差(ISB)。我们估算的BDS C2I-C6I和C2I-C7I DCB与DLR和IGG产品的比较显示出很好的一致性。对于BDS2,平均差在+/- 0.2 ns之内,而STD在0.15ns之内。但是,由于DLR / IGG处理中包含的站较少,因此BDS3的差异更大,平均差异约为0.35ns。 BDS3和BDS2 DCB的比较表明,对于同一网络,即iGMAS或MGEX,BDS3和BDS2之间的接收器DCB差异接近于零。换句话说,在BDS3和BDS2接收器DCB之间没有明显的系统偏差。但是,当将iGMAS和MGEX网络一起处理时,我们发现BDS3和BDS2之间的接收器DCB差异不接近零,并且在不同网络之间存在明显的系统偏差。对BDS3和BDS2之间的代码ISB的进一步分析也显示了类似的现象。因此,当一起处理iGMAS和MGEX网络时,应分别估计或校准BDS3和BDS2的接收机DCB。我们还分析了伽利略FOC和IOV卫星之间的接收机DCB和代码ISB,发现伽利略FOC和IOV卫星之间没有这种系统性偏差。对估计的BDS3和BDS2 DCB进行的180天分析表明,BDS3的卫星DCB非常稳定,平均STD约为0.18ns。对于BDS2,IGSO DCB最稳定,平均STD约为0.09ns,GEO DCB稳定性最差,平均STD约为0.18ns。 BDS3和BDS2的接收器DCB的平均STD分别为0.38和0.41ns,并且在大多数电台中,BDS3的接收器DCB的STD小于BDS2的STD。

著录项

  • 来源
    《Journal of Geodesy》 |2019年第3期|419-435|共17页
  • 作者单位

    Wuhan Univ, Sch Geodesy & Geomat, 129 Luoyu Rd, Wuhan 430079, Hubei, Peoples R China|German Res Ctr Geosci GFZ, D-14473 Potsdam, Germany;

    Wuhan Univ, Sch Geodesy & Geomat, 129 Luoyu Rd, Wuhan 430079, Hubei, Peoples R China;

    Wuhan Univ, Sch Geodesy & Geomat, 129 Luoyu Rd, Wuhan 430079, Hubei, Peoples R China;

    Wuhan Univ, Sch Geodesy & Geomat, 129 Luoyu Rd, Wuhan 430079, Hubei, Peoples R China;

    Wuhan Univ, Sch Geodesy & Geomat, 129 Luoyu Rd, Wuhan 430079, Hubei, Peoples R China;

    Wuhan Univ, Sch Geodesy & Geomat, 129 Luoyu Rd, Wuhan 430079, Hubei, Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Differential code bias (DCB); BDS3; BDS2; Multi-GNSS experiment (MGEX); iGMAS; Inter-system biases (ISB);

    机译:差分代码偏差(DCB);BDS3;BDS2;Multi-GNSS实验(MGEX);iGMAS;系统间偏差(ISB);

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