基于DIA的GNSS坐标时间序列异常值探测

Outlier Detection in GNSS Coordinate Time Series Based on the DIA Approach

为解决GNSS坐标时间序列中存在异常值导致地壳形变分析受到影响的问题,首先将经典数据探测法DIA(detection,identification,adaptation)引入GNSS坐标时间序列分析中,基于谐波模型构造相应的统计量;然后采用计算效率更高的改进DIA算法进行异常值探测;最后采用模拟数据和中国内地地壳运动观测网络(陆态网络)CMONOC实测数据对DIA算法和传统3σ法进行比较。结果表明,DIA算法能够有效探测出GNSS坐标时间序列中的异常值,准确率高于传统3σ法。相较于传统DIA算法,改进后的DIA算法计算效率显著提高。

We solve the problem that the analysis of crustal deformation is affected by outliers in GNSS coordinate time series.Firstly,we introduce the classical data detection method DIA(detection,identification,adaptation)into the GNSS coordinate time series analysis.Then,we use an efficient DIA algorithm for outlier detection.Finally,we use the simulated data and the real data of the Crustal Movement Observation Network of China(CMONOC)to compare the DIA algorithm with the traditional 3σmethod.The results show that the DIA algorithm can effectively detect the anomalous values in the GNSS coordinate time series with higher accuracy than the traditional 3σmethod.Compared with the traditional DIA algorithm,the computational efficiency of the improved DIA algorithm is significantly improved.