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On the link between GPS pseudorange noise and day-boundary discontinuities in geodetic time transfer solutions 总被引：1，自引：3，他引：1
When neglecting calibration issues, the accuracy of GPS-based time and frequency transfer using a combined analysis of code
and carrier phase measurements highly depends on the noise of the GPS codes. In particular, the pseudorange noise is responsible
for day-boundary discontinuities which can reach more than 1 ns in the time transfer results obtained from geodetic analysis.
These discontinuities are caused by the fact that the data are analyzed in daily data batches where the absolute clock offset
is determined by the mean code value during the daily data batch. This pseudorange noise is not a white noise, in particular
due to multipath and variations of instrumental delays. In this paper, the pseudorange noise behavior is characterized in
order to improve the understanding of the origin of the large day-boundary discontinuities in the geodetic time transfer results.
In a first step, the effect of short-term noise and multipath is estimated, and shown to be responsible for only a maximum
of 150 ps (picoseconds) of the day-boundary jumps, with only one exception at NRC1 where the correction provides a jump reduction
of 300 ps. In a second step, a combination of time transfer results obtained with pseudoranges only and geodetic time transfer
results is used to characterize the long-term evolution of pseudorange errors. It demonstrates that the day-boundary jumps,
especially those of large amplitude, can be explained by an instrumental effect imposing a common behavior on all the satellite
pseudoranges. Using known influences as temperature variations at ALGO or cable damages at HOB2, it is shown that the approach
developed in this study can be used to look for the origin of the day-boundary discontinuities in other stations. 相似文献
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Artificial neural networks for predicting DGPS carrier phase and pseudorange correction 总被引：2，自引：2，他引：0
Arif Indriyatmoko Taesam Kang Young Jae Lee Gyu-In Jee Yong Beom Cho Jeongrae Kim 《GPS Solutions》2008,12(4):237-247
Artificial neural networks (ANNs) were used to predict the differential global positioning system (DGPS) pseudorange and carrier
phase correction information. Autoregressive moving average (ARMA) and autoregressive (AR) models were bounded with neural
networks to provide predictions of the correction. The neural network was employed to realize time-varying implementation.
Online training for real-time prediction of the carrier phase enhances the continuity of service of the differential correction
signals and, therefore, improves the positioning accuracy. When the correction signal from the DGPS was lost, the artificial
neural networks predicted the correction data with good accuracy for the navigation system during a limited period. Comparisons
of the prediction results using the two models are given.
相似文献
| Young Jae LeeEmail: |
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给出了基于卡尔曼滤波的组合GPS／GLONASS伪距单点实时动态定位的原理,并通过模拟实验表明组合GPS／GLONASS可以改进单独GPS车辆导航和监控系统的定位精度和可幸性,为车最GPS在高楼林立的城区或其它可视条件受限制地带的应用提供了保证。 相似文献
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利用GPS计算TEC的方法及其对电离层扰动的观测 总被引：36，自引：8，他引：28
在总结用ＧＰＳ研究电离层电子总量ＴＥＣ的数据处理方法基础上,分析了利用伪距观测量和载波相位观测量计算电离层ＴＥＣ的特点及误差来源．在处理过程中考虑了卫星的硬件延迟偏差,分析了应用ＩＲＩ模型进行接收机硬件延迟偏差修正的可能性,发现利用少量ＧＰＳ数据和ＩＲＩ模型修正接收机硬件延迟偏差有一定的困难．最后,利用一些ＧＰＳ观测数据有针对性地研究了电离层对若干次扰动事件的响应．包括一次大的太阳耀斑期间的电离层ＴＥＣ变化、一次较典型的电离层行扰以及日食期间的电离层ＴＥＣ的相对变化等电离层物理问题．结果表明,利用该方法计算ＴＥＣ的精度可满足电离层扰动现象的研究． 相似文献
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本文提出利用GPS的C/A码、P码、L_1、载波、L_2载波等信号同时确定模糊度和精密伪距的方法,为保持GPS差分定位精度和提高定位速度开辟另一途径. 相似文献
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