摘要
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。
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.
作者
刘邢巍
席瑞杰
LIU Xingwei;XI Ruijie(Chongqing Geomatics Center,339 Longshan Road,Chongqing 401147,China;School of Geodesy and Geomatics,Wuhan University,129 Luoyu Road,Wuhan 430079,China)
出处
《大地测量与地球动力学》
CSCD
北大核心
2019年第4期404-409,共6页
Journal of Geodesy and Geodynamics
基金
重庆市社会事业与民生保障科技创新专项(cstc2017shmsA120007)
精密工程与工业测量国家测绘地理信息局重点实验室开放基金(PF2017-8)~~
关键词
GNSS
坐标时间序列
短基线
噪声特性
GNSS
coordinates time series
short baseline
noise characteristics
