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An uncombined triple-frequency user implementation of the decoupled clock model for PPP-AR
Journal of Geodesy ( IF 4.4 ) Pub Date : 2021-05-05 , DOI: 10.1007/s00190-021-01510-y
Nacer Naciri , Sunil Bisnath

Precise point positioning (PPP) has proved its capacity to provide centimetre-level position solutions in open sky environments. However, the technique still suffers from relatively long initial convergence times. Research has proved the potential of ambiguity resolution (AR) to reduce the convergence time and three main methods are used to perform AR: the fractional cycle bias method, the decoupled clock model (DCM) and the integer recovery clock method. This paper focuses on the DCM and expands it at the user side to better fit the current context. Seeing as multi-frequency processing is proving to improve PPP performance, the classical DCM model is extended from a combined dual-frequency model to an uncombined triple-frequency one. The user implementation is tested on 1400, 3-h-long datasets from global IGS stations for 1 week with the Galileo constellation in both static and kinematic modes. First, some of the model-specific parameters are plotted and the estimated receiver biases are visualized. Then, dual- and triple-frequency PPP-AR results are shown. In both frequency modes, the convergence time and accuracy of the float solutions are improved with AR. In the dual-frequency case, the 100-percentile mean convergence time reduces from 19 min for the float solution to 14 min for the fixed solution, and the horizontal root mean square error improves 2.7 to 1.1 cm. In the triple-frequency case, the convergence time reduces from 17.5 min for the float solution to 9.5 min for the fixed solution, and the accuracy improves from 2.6 to 1.0 cm. These results show a minimal improvement in the accuracy between the dual-frequency and triple-frequency AR solutions, and a significant 40–50\(\%\) improvement in the convergence time. Future work includes applying these developments to multi-constellation PPP-AR, which would further reduce the convergence time.



中文翻译:

PPP-AR解耦时钟模型的非组合三频用户实现

精确点定位(PPP)已证明其在露天环境中提供厘米级位置解决方案的能力。但是,该技术仍然遭受相对较长的初始收敛时间。研究证明了歧义分辨率(AR)减少收敛时间的潜力,并且使用三种主要方法来执行AR:分数周期偏差方法,解耦时钟模型(DCM)和整数恢复时钟方法。本文重点介绍DCM,并在用户端对其进行扩展,以更好地适应当前环境。鉴于多频处理已证明可以改善PPP性能,因此经典DCM模型已从组合双频模型扩展为非组合三频模型。用户实施已在1400上进行了测试,来自全球IGS台站的3小时长数据集,其中伽利略星座处于静态和动态模式,为期1周。首先,绘制一些特定于模型的参数,并可视化估计的接收器偏差。然后,显示了双频和三频PPP-AR结果。在两种频率模式​​下,使用AR都可以改善浮点解的收敛时间和精度。在双频情况下,100%的平均收敛时间从浮动溶液的19分钟减少到固定溶液的14分钟,并且水平均方根误差提高了2.7至1.1 cm。在三频情况下,收敛时间从浮动溶液的17.5分钟减少到固定溶液的9.5分钟,并且精度从2.6 cm提高到1.0 cm。\(\%\)缩短了收敛时间。未来的工作包括将这些发展应用于多星座PPP-AR,这将进一步减少收敛时间。

更新日期:2021-05-05
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