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Multi-GNSS satellite clock estimation constrained with oscillator noise model in the existence of data discontinuity

机译:存在数据不连续性时受振荡器噪声模型约束的多GNSS卫星时钟估计

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摘要

During the past years, real-time precise point positioning has been proven to be an efficient tool in the applications of navigation, precise orbit determination of LEO as well as earthquake and tsunami early warning, etc. One of the most crucial issues of these applications is the high-precision real-time GNSS satellite clock. Though the performance and character of the GNSS onboard atomic frequency standard have been widely studied, the white noise model is still the most popular hypothesis that employed in the real-time GNSS satellite clock estimation. However, concerning the real-time applications, significant data discontinuity may arise either due to the fact that only regional stations involved, or the failure in the stations, satellites and network connections. These data discontinuity would result in an arbitrary clock jump between adjacent arcs when the clock offsets are modeled as white noise. In addition, it is also expected that the detection and identification of outliers would be benefited from the constrains of the satellite oscillator noise model. Thus in this contribution, based on the statistic analysis of almost 2-year multi-GNSS precise clock products, we developed the oscillator noise model for the satellites of GPS, GLONASS, BDS and Galileo according to the oscillator type as well as the block type. Then, the efficiency of this oscillator noise model in multi-GNSS satellite clock estimation is demonstrated with 2-months data for both regional and global networks in simultaneous real-time mode. For the regional network, the results suggest that compared with the traditional solution based on white noise model, the improvement is 44.4 and 12.1% on average for STD and RMS, respectively, and the improvement is mainly attributed to the efficiency of the oscillator noise model during the convergence period and the gross error resistance. Concerning the global experiment, since the stations guarantee the continuous tracking of the satellites with redundant observable, the improvement is not as evident as that of regional experiment for GPS, GLONASS and BDS. The STD of Galileo clock improves from 0.28 to 0.19ns due to that, the satellites E14 and E18 still suffer significant data discontinuity during our experimental period.
机译:在过去的几年中,实时精确的点定位已被证明是导航,LEO的精确轨道确定以及地震和海啸预警等应用中的有效工具。这些应用中最关键的问题之一是高精度实时GNSS卫星时钟。尽管已经广泛研究了GNSS车载原子频率标准的性能和特点,但是白噪声模型仍然是实时GNSS卫星时钟估计中使用的最流行的假设。但是,对于实时应用,由于仅涉及区域站的事实,或者由于站,卫星和网络连接的故障,可能会导致大量数据不连续。当将时钟偏移建模为白噪声时,这些数据不连续将导致相邻弧之间的任意时钟跳变。另外,还期望从卫星振荡器噪声模型的约束中受益于离群值的检测和识别。因此,在此贡献的基础上,基于对近两年的GNSS多精确时钟产品的统计分析,我们根据振荡器类型和块类型为GPS,GLONASS,BDS和Galileo卫星开发了振荡器噪声模型。然后,以同时实时模式下区域和全球网络的2个月数据证明了该振荡器噪声模型在多GNSS卫星时钟估计中的效率。对于区域网络,结果表明,与传统的基于白噪声模型的解决方案相比,STD和RMS的平均改进分别为44.4和12.1%,并且该改进主要归因于振荡器噪声模型的效率在收敛期间和总的抗错误性。关于全球实验,由于台站保证了对卫星的连续跟踪和可观测的重复,因此改进没有像GPS,GLONASS和BDS的区域实验那样明显。由于我们的实验期间,卫星E14和E18仍然遭受明显的数据不连续性,因此伽利略时钟的STD从0.28改善到0.19ns。

著录项

  • 来源
    《Journal of Geodesy》 |2019年第4期|515-528|共14页
  • 作者单位

    Wuhan Univ, GNSS Res Ctr, 129 Luoyu Rd, Wuhan 430079, Hubei, Peoples R China|Beihang Univ, Sch Elect & Informat Engn, 37 Xueyuan Rd, Beijing 100083, Peoples R China;

    Wuhan Univ, GNSS Res Ctr, 129 Luoyu Rd, Wuhan 430079, Hubei, Peoples R China|Beihang Univ, Sch Elect & Informat Engn, 37 Xueyuan Rd, Beijing 100083, Peoples R China;

    Wuhan Univ, GNSS Res Ctr, 129 Luoyu Rd, Wuhan 430079, Hubei, Peoples R China|German Res Ctr Geosci GFZ, Helmholtz Ctr Potsdam, D-14473 Potsdam, Germany;

    Wuhan Univ, GNSS Res Ctr, 129 Luoyu Rd, Wuhan 430079, Hubei, Peoples R China;

    Wuhan Univ, GNSS Res Ctr, 129 Luoyu Rd, Wuhan 430079, Hubei, Peoples R China;

    German Res Ctr Geosci GFZ, Helmholtz Ctr Potsdam, D-14473 Potsdam, Germany;

    German Res Ctr Geosci GFZ, Helmholtz Ctr Potsdam, D-14473 Potsdam, Germany;

    German Res Ctr Geosci GFZ, Helmholtz Ctr Potsdam, D-14473 Potsdam, Germany|Tech Univ Berlin, D-10623 Berlin, Germany;

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

    Clock model; Data discontinuity; Multi-GNSS; Real-time;

    机译:时钟模型;数据不连续性;Multi-GNSS;实时;

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