GPS监测地壳形变漂移速度的计算

Floating velocity calculation in GPS crustal deformation monitoring

根据动态卡尔曼滤波理论,结合GPS监测地壳形变数据处理的特点,构建了动态卡尔曼滤波计算地壳运动漂移速度的数学模型.结合IGS的GPS连续观测网络部分站点的多期数据,使用精密定位定轨软件GAMIT进行定位计算,获得高精度的站点坐标.将坐标作为具有先验方差信息的准观测值,设置站点漂移速度为未知数,进行卡尔曼滤波漂移速度的估计.计算结果与已有结果的比较表明,卡尔曼滤波漂移速度估计可以达到mm级的精度,可用于GPS监测地壳形变进行漂移速度的估计.

Based on the dynamic Kalman Filter theory and the characteristics of data processing of GPS crustal deformation monitoring, a calculation model of floating velocity with a dynamic Kalman Filter was established. At first, the highly precise coordinates were calculated using many periods of data from some IGS stations and GAMIT software. Then, the obtained coordinates were considered as quasi-observations, and the velocities were considered as unknown variations and were computed with a Kalman Filter. A comparison of calculated and measured data shows that the presented model has a precision of several millimeters. So the model can be used for floating velocity estimation in GPS crustal deformation monitoring.