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- 2018
GPS坐标时间序列噪声估计及相关性分析
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Abstract:
比较分析了极大似然估计法、最小二乘方差分量估计法以及最小范数二次无偏估计法对GPS站坐标时间序列噪声的估计效果，确定最小范数二次无偏估计法为最优的噪声方差估计方法。在此基础上对中国及其周边区域20个IGS站坐标时间序列中各方向噪声方差进行一元线性回归分析。结果表明，中国及其周边区域IGS站不同方向的噪声间具有中等强度以上的相关性，其中N方向闪烁噪声与其他方向闪烁噪声的相关性要强于白噪声。水平方向的噪声振幅能够解释垂直方向噪声振幅变化的40%~60%，而N方向噪声振幅能够解释E方向噪声振幅变化的60%~80%，获得的线性回归方程具有使用价值
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