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An approach for real-time fast point positioning of the BeiDou Navigation Satellite System using augmentation information

机译：使用增强信息的北欧导航卫星系统实时快速点定位方法

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摘要

This study proposes an approach to facilitate real-time fast point positioning of the BeiDou Navigation Satellite System (BDS) based on regional augmentation information. We term this as the precise positioning based on augmentation information (BPP) approach. The coordinates of the reference stations were highly constrained to extract the augmentation information, which contained not only the satellite orbit clock error correlated with the satellite running state, but also included the atmosphere error and unmodeled error, which are correlated with the spatial and temporal states. Based on these mixed augmentation corrections, a precise point positioning (PPP) model could be used for the coordinates estimation of the user stations, and the float ambiguity could be easily fixed for the single-difference between satellites. Thus, this technique provided a quick and high-precision positioning service. Three different datasets with small, medium, and large baselines (0.6 km, 30 km and 136 km) were used to validate the feasibility and effectiveness of the proposed BPP method. The validations showed that using the BPP model, 1-2 cm positioning service can be provided in a 100 km wide area after just 2 s of initialization. Thus, as the proposed approach not only capitalized on both PPP and RTK but also provided consistent application, it can be used for area augmentation positioning.
机译：本研究提出了一种基于区域增强信息的北欧导航卫星系统（BDS）的实时快速点定位的方法。我们将此作为基于增强信息（BPP）方法的精确定位。参考站的坐标受到高度约束，以提取增强信息，其不仅包含与卫星运行状态相关的卫星轨道时钟误差，而且还包括大气误差和未拼接的误差，与空间和时间状态相关。基于这些混合增强校正，可以将精确点定位（PPP）模型用于用户站的坐标估计，并且可以容易地固定浮动模糊性以用于卫星之间的单差异。因此，该技术提供了一种快速而高精度的定位服务。使用小型，中等和大型基线（0.6公里，30公里和136公里）的三个不同的数据集来验证所提出的BPP方法的可行性和有效性。验证显示，使用BPP模型，可以在仅在初始化的2秒之后的100km宽区域内提供1-2厘米定位服务。因此，由于所提出的方法不仅在PPP和RTK上大写，而且还提供了一致的应用，它可以用于区域增强定位。

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