GNSS站坐标序列速度和振幅变化的探测与分析

Detection and Analysis of Velocity and Amplitude Changes in GNSS Coordinate Series

摘要:

提出一种GNSS(global navigation satellite system)站坐标序列速度和振幅变化的探测算法.该算法根据二叉树原理遍历搜索所有可能发生变化的历元，并进行速度和振幅变化的建模分析，再采用F检验确定模型的显著性.模拟数据验证算法的正确性后，将该算法应用到中国地壳运动观测网络五个基准站的高程实测数据的探测与分析中，结果表明本文的模型相较于传统的时间序列拟合模型，拟合优度更高，更能反映数据的真实变化趋势与细部变化特征.

Abstract:

A method, global navigation satellite system(GNSS), is proposed for detecting velocity and amplitude changes based on the principal of binary tree for searching the most possible change epochs and testing the velocity and amplitude changes. Then the change epochs are tested by F test statistics. The proposed method verified with simulation data is applied to the analysis of the vertical coordinate time series of 5 base stations in crustal movement observation network of China. The results show that the proposed method has the higher fitting accuracy and the better reflection of the observation data.