智能利用伪距和伪距率误差表征改进PVT方案

Eustachio Roberto Matera, A. Garcia‐Pena, C. Milner, Bertrand Ekambi
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引用次数: 1

摘要

在城市环境中,单机GNSS定位面临着精度和可靠性要求的挑战。为了利用GNSS获得最优可靠的位置估计,需要有一个精确的伪距和伪距率误差项分布模型。先前的研究通过提出一种从伪距测量中分离多径误差和热噪声分量的方法,解决了城市环境中伪距测量的多径误差和噪声分量的统计特征。该方法适用于L1频段双星座测量、GPS L1 C/A和伽利略E1 OS信号测量。此外,还讨论了信号接收条件的可靠分类,即视距狮子(LOS)和非视距狮子(NLOS)。本文所做的工作首先是将先前工作中提出的方法进一步应用于伪橙率(多普勒频率)测量,其次是检查推导出的伪橙和伪橙率测量的误差分量表征在应用于PVT导航解决方案时的好处。最后,对基于卫星测量选择原理的PVT估计性能进行了分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Smart Exploitation of Pseudorange and Pseudorange-rate Error Characterization to Improve the PVT Solution
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 adaptingthe 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.
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