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Analysis of satellite-induced factors affecting the accuracy of the BDS satellite differential code bias

机译:影响影响BDS卫星差分码偏差准确性的卫星诱导因子的分析

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摘要

Differential code bias (DCB) is one of the main error sources of the positioning, navigation and timing services and slant total electron content extraction. The DCB can usually be estimated together with ionospheric model coefficients from the data of International GNSS Service stations. However, the precision of the BeiDou Navigation Satellite System (BDS) satellite DCBs determined with GNSS data is still lower compared with that of GPS. Apart from the sparsely distributed tracking stations of BDS, the quality of BDS observables also matters. Moreover, the determined DCB will have different characteristics for geostationary orbit (GEO), inclined geosynchronous orbit (IGSO) and medium earth orbit (MEO) satellites because of different observation times, geometric structures and orbit repeat periods of the different orbit types. In this study, we mainly analyze the factors affecting the accuracy of BDS satellite DCBs. First, a piece-wise local ionospheric model based on a two-step method is proposed to obtain the BDS DCBs. Second, the impact of BDS satellite-induced code bias variations on the ionospheric observable and DCB determination is analyzed in detail. Finally, we focus on the analysis of the cause of different day-to-day scattering results for GEO, IGSO and MEO satellite DCBs. The performance of the proposed algorithm and the satellite-induced factors affecting the accuracy of BDS DCBs are assessed by about 3 months of GNSS data in 2015 from 42 MGEX stations. Results show that the proposed algorithm is able to estimate BDS satellite DCBs precisely. The DCB day-to-day stability of BDS satellites is improved by 40.6% compared with DCB products of Institute of Geodesy and Geophysics (IGG), China. After the satellite-induced bias is eliminated by a correction model, the precision of BDS DCBs improves. In particular, the value of B1-B3 DCB day-to-day scattering for MEO satellites decreased by 28.4%. In addition, we determined that the lower DCB day-to-day stability of MEO satellites compared with that of IGSO satellites may be mainly attributed to the different satellite orbit repeat periods.
机译:差分码偏差(DCB)是定位,导航和定时服务的主要误差源之一,也是倾斜的全电子内容提取。 DCB通常可以与来自国际GNSS服务站数据的电离层模型系数一起估计。然而,与GNSS数据确定的北欧导航卫星系统(BDS)卫星DCB的精度与GPS相比仍然较低。除了BDS的稀疏分布式跟踪站之外,BDS可观察品的质量也很重要。此外,由于不同的观察时间,不同轨道类型的观察时间,几何结构和轨道重复时段,所确定的DCB对于地球静止轨道(地理学),倾斜的地球同步轨道(IGSO)和中地球轨道(MEO)卫星具有不同的特征。在这项研究中,我们主要分析影响BDS卫星DCBS精度的因素。首先,提出了一种基于两步法的局部电离层模型,得到BDS DCBS。其次,详细分析了BDS卫星诱导的代码偏差变化对电离层观察和DCB测定的影响。最后,我们专注于分析地理,IGSO和Meo卫星DCBS不同日常散射成果的原因。提出的算法的性能和影响BDS DCBS精度的卫星诱导的因素在2015年的GNSS数据中评估了来自42个麦克斯站的约3个月。结果表明,该算法能够精确地估计BDS卫星DCBS。与中国大地球物学研究所(IGG)的DCB产品相比,BDS卫星的DCB日常稳定性提高了40.6%。在通过校正模型消除卫星诱导的偏压之后,BDS DCBS的精度改善。特别是,Meo卫星的B1-B3 DCB日常散射的值减少了28.4%。此外,与IGSO卫星相比,我们确定Meo卫星的DCB日常稳定性较低,可以主要归因于不同的卫星轨道重复时段。

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