拟稳平差法在GNSS时间序列修复中的研究与应用

Research and Application of Quasi-Stable Adjustment Method in GNSS Time Series Restoration

针对CORS坐标时间序列的缺失问题提出一种基于GNSS网拟稳平差的时间序列插值方法。在区域内选择相对稳定的测站构建基线网,根据稳定测站的趋势变化对缺失序列进行修复。模拟实验对比分析证明,拟稳平差法的修复效果最好,平均误差在5 mm以内,并保留了原始数据的运动趋势。使用拟稳平差法对待求点365 d的坐标序列进行仿真处理,并与真实序列进行对比分析。结果表明,仿真序列与真实序列变化趋势基本一致,E、N方向上的平均误差在5 mm以内,U方向上的平均误差在10 mm以内。

Aiming at the problem of missing CORS coordinate time series,we propose a time series interpolation method based on GNSS network quasi-stable adjustment.We select relatively stable stations in the region,construct a baseline network,and use the quasi-stable adjustment method to repair the missing sequence based on the trend changes of stable stations.Through simulation experiments,we find that the quasi-stable adjustment method has the best repair effect,with an average error of within 5 mm,retaining the motion trend of the original data.We use the quasi-stable adjustment method to simulate the 365 d coordinate series of the point to be solved,and we compare it with the real series.The trend changes of the simulation series and the real series are basically consistent.The average error in the E and N directions is within 5 mm,and the average error in the U direction is within 10 mm.