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Smart exploitation of pseudorange and pseudorange-rate error characterization to improve the PVT solution

机译:伪兴奋和伪距速率误差表征的智能开发,提高PVT解决方案

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Stand-alone GNSS positioning is challenged to meet the applications' demanded accuracy and reliability in urban environments. In order to obtain an optimal and reliable position estimate using GNSS, it is necessary to have an accurate model of the pseudorange and pseudorange-rate error terms' distributions. Previous research contributions addressed the statistical characterization of the pseudorange measurements' multipath and noise error components in an urban environment by proposing a methodology to isolate the multipath error and the thermal noise component from the pseudorange measurement. The proposed methodology was adapted to include dual constellation measurements in the L1 band, GPS L1 C/A and Galileo E1 OS signal measurements. Moreover, a reliable classification of the signal reception conditions, Lion-of-Sight (LOS) and Non LOS (NLOS), was addressed. The work conducted in this article consists first in further adapting the methodology proposed in the previous work to the pseduorange rate (Doppler frequency) measurement and second, in inspecting the benefits of the derived pseudorange and pseudorange-rate measurements' error component characterizations when applied on the PVT navigation solution. Finally, the analysis of the PVT estimation performance based on satellite measurement selection principle is presented.
机译:独立的GNSS定位受到挑战,以满足城市环境中的应用要求的准确性和可靠性。为了使用GNSS获得最佳和可靠的位置估计,有必要具有伪距和伪距速率误差术语分布的准确模型。以前的研究贡献通过提出一种方法来解决城市环境中的伪距测量的多径和噪声误差分量的统计表征,通过提出从伪距测量中分离多径误差和热噪声分量。所提出的方法适于包括L1频带,GPS L1 C / A和伽利略E1 OS信号测量的双星座测量。此外,解决了信号接收条件,狮子(LOS)和非LOS(NLO)的可靠分类。本文中进行的工作首先在进一步调整到Pseduorange率(多普勒频率)测量中提出的方法和第二种方法,在检查派生的伪距和伪距离测量'错误组件特征时的益处PVT导航解决方案。最后,提出了基于卫星测量选择原理的PVT估计性能的分析。

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