噪声自相关
It constructs noise autocorrelation function with the use of noise autocorrelation in the high-frequency GPS coordinate time series, puts forward the Kalman filtering denoising model based on the fractal algorithm, and fulfills GPS subsidence deformation extract and the reference point coordinates settlement corrections. 3.
利用高频GPS坐标时间序列中噪声的自相关性构建了噪声自相关函数,提出基于分形算法的Kalman滤波消噪模型,实现GPS沉降变形的提取与基准点坐标的沉降改正。
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