GNSS变形监测网短基线时间序列噪声特性分析

利用时间跨度为5 a的GNSS短基线时间序列对噪声特性进行分析,发现长周期噪声分量(随机游走噪声)。选取最优噪声模型,评估不同噪声模型对测站周期振幅和线性速度估值的影响。结果表明,短基线时间序列中有色噪声应顾及闪烁噪声和随机游走噪声,对于表现出随机游走噪声的分量,可能与测站的真实运动有关;假设只有白噪声时求得的速度估值与最优噪声模型下求得的速度估值存在0.4～0.6 mm/a的偏差,对周期振幅的影响可以忽略。

Analysis of Noise Characteristics of Short Baseline Time Series of GNSS Deformation Monitoring Network

The paper analyzes the noise characteristics of GNSS short baseline time series for 5 years, finds the long periodic noise components(random walk noise), selects the optimal noise model and evaluates the effect of the different noise models on estimation of periodic amplitude and linear velocity. The results show that short baseline time series in colored noise should consider the flicker noise and random walk noise. Furthermore, the random walk noise component may be related to the real motion measurement of the station. It is assumed that there is a 0.4-0.6 mm/a deviation between the velocity estimation obtained from white noise and the velocity estimation obtained under the optimal noise model, while the effect on periodic amplitude can be ignored.