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Accuracy trend analysis of low-cost GNSS chips: The case of multi-constellation GNSS PPP

机译:低成本GNSS芯片的准确趋势分析:多星座GNSS PPP的情况

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The recent market release of a new generation of state-of-the-art, low-cost receivers capable of tracking multi-frequency, multi-GNSS signals offers a glimpse into the level of improvement in augmented GNSS user solution accuracy. Using PPP to assess point positioning accuracy, this paper investigates various low-cost, multi-GNSS receiver chipsets, including the Piksi Multi Module, Unicorecomm Nebulas II and U-blox F9 sensors. The testing and analysis can be grouped into 3 main categories: measurement quality analysis, uncombined float PPP solution processing, and residual analysis. Static and kinematic scenarios were considered in all of tests performed on the chipset sensors. Reference solutions were obtained from a collocated geodetic receiver. To appreciate the quality of the observations obtained from the sensors, pseudorange multipath observables were formed to generate a full multipath profile. The results indicated that the quality of the solutions is equivalent to the geodetic receiver in terms of availability and positioning, especially in the static case. Significant customization was made to our York-PPP processing engine, especially in the quality control and residual analysis functions, in order to successfully process these datasets. Results from the relatively low-cost receivers indicated on average a decimetre-level of accuracy with geodetic grade antennas. However, centimetre- to millimetre-level of differences were observed among the sensors when a signal splitter was used to connect them to one antenna. While the positioning performance is typically limited to the decimetre-level, this performance is orders of magnitude better than metre-level point positioning. Future work would involve the resolution of float ambiguities for all available constellations.
机译:最近的市场发布了新一代最先进的,能够跟踪多频率的低成本接收器,多GNSS信号的推出能够提高GNSS用户解决方案精度的提高水平。使用PPP评估点定位精度,本文调查了各种低成本,多GNSS接收器芯片组,包括Piksi Multi模块,Unicorecomm Nebulas II和U-Blox F9传感器。测试和分析可分为3个主要类别:测量质量分析,未掺杂的浮法PPP解决方案处理和残留分析。在芯片组传感器上执行的所有测试中考虑了静态和运动场景。参考解决方案是从配套的大地测量接收器获得的。为了理解从传感器获得的观察结果的质量,形成假致多径观察以产生完整的多径分布。结果表明,在可用性和定位方面,解决方案的质量相当于大地测量接收器,尤其是在静态壳体中。对我们的约克-PPP处理引擎进行了重大定制,特别是在质量控制和残余分析功能中,以成功处理这些数据集。相对低成本的接收器的结果平均指示与大地测级天线的平均精度的比分高。然而,当使用信号分离器将它们连接到一个天线时,在传感器中观察到厘米厘米到毫米级别。虽然定位性能通常限于Decimetre-Level,但这种性能比米级点定位更好的数量级。未来的工作将涉及所有可用星座的浮法歧义的分辨率。

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