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Covariance Analysis of Real-Time Precise GPS Orbit Estimated from Double-Differenced Carrier Phase Observations

机译:双差分载体相位观测估计的实时精确GPS轨道的协方差分析

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摘要

The covariance of real-time global positioning system (GPS) orbits has been drawing attention in various fields such as user integrity, navigation performance improvement, and fault detection. The international global navigation satellite system (GNSS) service (IGS) provides real-time orbit standard deviations without correlations between the axes. However, without correlation information, the provided covariance cannot assure the performance of the orbit product, which would, in turn, causes significant problems in fault detection and user integrity. Therefore, we studied real-time GPS orbit covariance characteristics along various coordinates to effectively provide conservative covariance. To this end, the covariance and precise orbits are estimated by means of an extended Kalman filter using double-differenced carrier phase observations of 61 IGS reference stations. Furthermore, we propose a new method for providing covariance to minimize loss of correlation. The method adopted by the IGS, which neglects correlation, requires 4.5 times the size of the covariance to bind orbit errors. By comparison, our proposed method reduces this size from 4.5 to 1.3 using only one additional parameter. In conclusion, the proposed method effectively provides covariance to users.
机译:实时全球定位系统(GPS)轨道的协方差已经在各种领域引起了注意,例如用户完整性,导航性能改进和故障检测。国际全球导航卫星系统(GNSS)服务(IGS)提供实时轨道标准偏差,而无需轴之间的相关性。然而,如果没有相关信息,所提供的协方差不能保证轨道的产品,这将反过来又导致故障检测和用户信息的完整性显著问题的表现。因此,我们研究了各种坐标的实时GPS轨道协方差特征,以有效地提供保守协方差。为此,通过使用61IGS参考站的双差异载波相位观察,通过扩展卡尔曼滤波器估计协方差和精确轨道。此外,我们提出了一种新方法,用于提供协方差,以最大限度地减少相关性的丧失。忽略关联的IGS采用的方法需要协方差的45倍,以结合轨道误差。相比之下,我们的建议方法仅使用一个附加参数将此大小从4.5减少到1.3。总之,该方法有效地向用户提供协方差。

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