我国IGS基准站高程时间序列抗差功率谱估计

Robust power spectrum estimation on height time series of Chinese CORS stations

为更清晰地了解基准站高程序列的周期运动特性,本文采用抗差最小二乘迭代与功率谱估计相结合的方法,分析了我国6个IGS基准站近11年观测得到的高程时间序列数据。在功率谱分析获取准确的高程运动第一主周期项的基础上,继续抗差迭代,并分离出高程方向运动的其他主周期项和振幅,得到了主要周期项对高程方向运动能量的贡献大小,基准站高程方向具有接近一年的年周期运动和多于一年的第二主周期项运动,半周年项运动所占的比重很小。

In order to find periodic characteristics of height time series clearly, the methods of robust least square iteration and power spectrum estimation were used to analyze height time series of Chinese 6 IGS tracking stations lasting nearly 11 years. The accurate main period item and amplitude of height direction movement of base stations were isolated using the power spectrum estimation method. With sequential robust iteration other period and amplitude were isolated. Reference station height movements were got more clearly through analyzing the seasonal changes and long-period term items. The height directions of CORS stations have nearly one year main period movement, also include more one year second period. The percentage of semi-year movement is very small.