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- 2016
顾及有色噪声的GPS位置时间序列中断探测法
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Abstract:
GPS位置时间序列中经常会出现信息中断,造成数据不连续,进而导致测站速度及其不确定度的估计有偏。因此,时间序列中断探测是动态大地测量数据处理的重要内容。在基于t-检验的序贯格局转换分析法(sequential t-test analysis of regime shifts,STARS)算法的基础上,顾及GPS位置时间序列的噪声特性,提出了一种考虑有色噪声的STARS算法(COL-STARS)。该算法首先利用一阶自回归模型(auto-regressive, AR(1))模型进行噪声"白化",然后再进行数据中断探测。经模拟数据和实测数据分析,改进后的COL-STARS算法在一定程度上降低了中断探测的误判,能提高GPS位置时间序列中断探测的准确率。同时,也对STARS算法的参数设置以及滤波对中断探测的影响分别进行了讨论
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