Abstract: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.
LIU Xingwei,XI Ruijie. Analysis of Noise Characteristics of Short Baseline Time Series of GNSS Deformation Monitoring Network[J]. jgg, 2019, 39(4): 404-409.