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Visualization of GNSS multipath effects and its potential application in IGS data processing
Journal of Geodesy ( IF 3.9 ) Pub Date : 2021-08-28 , DOI: 10.1007/s00190-021-01559-9
Weiming Tang 1 , Yawei Wang 1 , Xuan Zou 1 , Yangyang Li 1 , Chenlong Deng 1 , Jianhui Cui 1
Affiliation  

A modified multipath error mitigation method using the multi-point hemispherical grid model (MHGM) is proposed, and the influence of changes in the observation environments of IGS stations on their data quality is evaluated. The multipath error models of different satellite pairs for different observation periods can be established using the integrated multi-GNSS data in the proposed method. The test under deliberate high multipath environment reveals that this method can effectively estimate the GNSS multipath error, detect and present the orientation of the interference sources around the station. The RMS of residuals and the kinematic positioning accuracy on day 237 of 2018 are improved by 68% and 61%, respectively. Compared with the empirical site model (ESM), which can also visualize the effects of the multipath, the RMS of residuals when applying the MHGM is improved by 20%. The test with IGS historical observations shows that MHGM can effectively reflect the influence of changing multipath interference around stations on carrier phase observations, with an average improvement of 25% in the RMS of carrier phase residuals in the extrapolated 9-day validations over the past 18 years. The results of a kinematic positioning experiment in 2019 generally coincide with the RMS statistic results of carrier phase residuals as well. The MHGM demonstrates distinct potential in the influence evaluation of changes for the multipath interference around the stations on their observation quality.



中文翻译:

GNSS 多径效应的可视化及其在 IGS 数据处理中的潜在应用

提出了一种改进的基于多点半球网格模型(MHGM)的多径误差缓解方法,评估了IGS台站观测环境变化对其数据质量的影响。使用所提出的方法中的集成多GNSS数据可以建立不同观测周期的不同卫星对的多径误差模型。在故意高多径环境下的测试表明,该方法可以有效地估计 GNSS 多径误差,检测和呈现站周围干扰源的方向。2018年第237天残差均方根值和运动定位精度分别提高了68%和61%。与同样可以可视化多径效应的经验站点模型 (ESM) 相比,应用 MHGM 时残差的 RMS 提高了 20%。用IGS历史观测测试表明,MHGM可以有效反映站点周围多径干扰变化对载波相位观测的影响,在过去18年的外推9天验证中,载波相位残差RMS平均提高25%年。2019年一次运动学定位实验的结果也与载波相位残差的RMS统计结果基本吻合。MHGM 在评估台站周围多径干扰变化对其观测质量的影响方面表现出明显的潜力。用IGS历史观测测试表明,MHGM可以有效反映站点周围多径干扰变化对载波相位观测的影响,在过去18年的外推9天验证中,载波相位残差RMS平均提高25%年。2019年一次运动学定位实验的结果也与载波相位残差的RMS统计结果基本吻合。MHGM 在评估台站周围多径干扰变化对其观测质量的影响方面表现出明显的潜力。用IGS历史观测测试表明,MHGM可以有效反映站点周围多径干扰变化对载波相位观测的影响,在过去18年的外推9天验证中,载波相位残差RMS平均提高25%年。2019年一次运动学定位实验的结果也与载波相位残差的RMS统计结果基本吻合。MHGM 在评估台站周围多径干扰变化对其观测质量的影响方面表现出明显的潜力。2019年一次运动学定位实验的结果也与载波相位残差的RMS统计结果基本吻合。MHGM 在评估台站周围多径干扰变化对其观测质量的影响方面表现出明显的潜力。2019年一次运动学定位实验的结果也与载波相位残差的RMS统计结果基本吻合。MHGM 在评估台站周围多径干扰变化对其观测质量的影响方面表现出明显的潜力。

更新日期:2021-08-29
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