GPS连续站水平位置时间序列共模白噪声识别与估计的欧拉-滤波法

The Euler-Filter Algorithm of Recognition and Estimation on the Common Mode White Noise of Time Series for Horizontal Components of GPS Continuous Observation Stations

根据GPS误差的特征,以天津地区连续观测资料为例,提出了在局域空间尺度上采用欧拉-滤波法来识别与估计共模误差,结果表明:GPS连续站水平向时序观测资料包含着非常明显的共模误差;综合利用欧拉-滤波法可以对共模误差中的白噪声做出较有效的估计;测站的综合白噪声、共模白噪声、测站自身白噪声大小的统计比例约为2.0∶1.7∶1.0。通过对观测值的修正,信噪比可提高1倍。

According to the features of GPS error, the common mode error was recognized and estimated by Eulerfilter algorithm that was suggested in less space range,results based on GPS data from Tianjin area showed that： there was very clearly common mode error of GPS time series of horizontal components in GPS continuous observation stations. The white noise of common mode error could be recognized by Euler-filter algorithm. The proportions among the integrative white noise, the common mode white noise and the white noise of station own were about 2.0 ： 1.7 ： 1.0. The signal-to-noise ratio could be doubled after the data were corrected.