摘要
采用动态精密单点定位技术处理高频GNSS数据获取GNSS位移,利用空间叠加滤波法消除其共模误差的影响,基于Kalman滤波将高频GNSS位移和强震观测加速度融合,利用GNSS位移校正强震仪加速度的基线漂移,得到融合同震位移和速度,建立顾及基线偏差改正的高频GNSS和强震仪组合模型。以2016年意大利北部6.0级地震为例,探讨本文模型的有效性。实验结果表明,本文模型具有高精度、宽频带特点,能准确描述地震引起的永久阶跃和震时地表位移变化。
We use dynamic precise point positioning technology to process high-rate GNSS data to obtain GNSS displacement,and use the spatial superposition filtering method to eliminate the influence of its common mode error.The baseline drift of the strong seismograph acceleration is corrected by fusing the high-rate GNSS displacement and acceleration based on Kalman filtering,and we establish a combined model of high-rate GNSS and strong seismograph considering the correction of baseline deviation.Taking the M6.0 earthquake in northern Italy in 2016 as an example,we analyze the effectiveness of the model in this paper.The experimental results show that the method has the characteristics of high precision and wide frequency band.It can accurately describe the permanent step caused by the earthquake and the surface displacement change.
作者
陈曦
高雅萍
CHEN Xi;GAO Yaping(College of Earth Sciences,Chengdu University of Technology,Chengdu 610059,China)
出处
《大地测量与地球动力学》
CSCD
北大核心
2023年第7期674-678,共5页
Journal of Geodesy and Geodynamics
基金
四川省科技厅应用基础研究项目(2020YJ0362)
四川省测绘地理信息学会科技开放基金(CCX202114)。
关键词
高频GNSS
强震仪
加速度
基线漂移
卡尔曼滤波
同震位移
high-rate GNSS
strong seismograph
acceleration
baseline drift
Kalman filtering
coseismic displacement