利用ARMA模型改进GPS高程时间序列的研究

Research of GPS Height Time Series Improved by ARMA Model

ARMA可用于时间序列建模,本文利用ARMA模型改进了部分IGS连续跟踪站GPS高程时间序列。计算了改进前后时间序列的线性速度,可以发现时间序列线性速度变化不明显,但精度却提高很多。通过研究表明利用ARMA模型有利于降低GPS高程时间序列噪声,可用于GPS高程时间序列的分析和研究。

Autoregressive moving average （ARMA） method is applied to modeling GPS height time series of IGS fiducial stations. The paper calculated the linear velocities of before and after improved time series. And the velocities we get from improved time series is changed a litter but the precision is improved a lot. Through study, the noise of time series have decreased a lot compared to primary time series, and we can concluded that ARMA model is a good method for research GPS height time series.