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Characteristics and modelling of BDS satellite inter-frequency clock bias for triple-frequency PPP

机译:三频PPP中BDS卫星间频率频率频率频率频率的特性和建模

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Aiming at the problem of the inter-frequency clock bias (IFCB) in Beidou Navigation Satellite System (BDS) triple-frequency observations, the variation characteristics with time are analysed in detail. The IFCB models for all the three kinds of satellites, i.e. GEO, IGSO and MEO, are proposed. Then the attenuation and long-term forecasting performance of the models are evaluated. Finally, the validity and benefit of the model are verified by triple-frequency Precise Point Positioning (PPP) experiments. The IFCB results from consecutive two-month BDS triple-frequency observation data of 44 globally distributed Multi-GNSS Experiment (MGEX) stations show that the IFCBs of GEO satellites have prominent periodic variation in general. The correlation coefficient and the determination coefficient of predicted IFCB by the model for GEO satellites are up to 0.957 and 0.915 respectively, which shows the model has a high stability and is suitable for long-term prediction. The IFCBs of IGSO satellites have the same periodicity as those of GEO satellites. Although the model is not as good as that of GEO satellites, it still performs well overall and can be applied to long-term prediction in most instances. The model of MEO satellites performs worse than GEO and IGSO due to the numerical instability and less obvious periodicity of IFCBs. Moreover, the effect of the IFCB models is better than the substitution method of using the IFCB at the corresponding moment in the previous period as the IFCB forecast value of the current period. In the triple-frequency Precise Point Positioning (PPP) experiments, the modelled IFCB correction can improve the positioning accuracy by 21.1%, 9.0% and 9.9% in the north, east and up directions and also shorten the convergence time in these three directions by 26.8%, 10.4% and 24.4% respectively compared with the observation model without IFCB correction.
机译:针对北欧导航卫星系统(BDS)三频观察中频率间频率偏置(IFCB)的问题,详细分析了随时间的变化特性。提出了所有三种卫星的IFCB模型,即Geo,Igso和Meo。然后评估模型的衰减和长期预测性能。最后,通过三频精确点定位(PPP)实验来验证模型的有效性和益处。 IFCB从连续的24个全球分布式多GNSS实验(MGEx)站的24个月BDS三频观察数据的结果表明,Geo卫星的IFCB一般都具有突出的周期性变化。通过Geo卫星模型预测IFCB的相关系数和确定系数分别为0.957和0.915,显示该模型具有高稳定性并且适合于长期预测。 IGSO卫星的IFCBS具有与地理卫星相同的周期性。虽然该模型不如Geo卫星那么好,但它仍然良好地表现出很好,并且可以在大多数情况下应用于长期预测。由于IFCBS的数值不稳定性和不太明显的周期性,MEO卫星模型表现比GEO和IGSO更差。此外,IFCB模型的效果优于使用IFCB在上一段时间内的IFCB的替换方法作为当前周期的IFCB预测值。在三频精确点定位(PPP)实验中,模型IFCB校正可以将定位精度提高21.1%,在北方,东部和向上方向上的9.0%和9.9%,并在这三个方向上缩短了收敛时间与没有IFCB校正的观察模型相比,分别比较26.8%,10.4%和24.4%。

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