顾及有色噪声的GPS位置时间序列中断探测法

发布时间：2018-10-09 12:55

【摘要】：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COLSTARS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。
[Abstract]:Information interruption often occurs in GPS position time series, which results in data discontinuity, which leads to biased estimation of station velocity and uncertainty. Therefore, time series interrupt detection is an important part of dynamic geodetic data processing. On the basis of the sequential pattern transformation analysis (sequential t-test analysis of regime shifts,STARS) algorithm based on t- test and taking into account the noise characteristics of GPS position time series, a STARS algorithm (COL-STARS) considering colored noise is proposed. First, the first order autoregressive model (auto-regressive,AR (1) is used to whiten the noise, and then the data interrupt detection is carried out. Through the analysis of simulated and measured data, the improved COLSTARS algorithm can reduce the misjudgment of interrupt detection to some extent and improve the accuracy of GPS position time series interrupt detection. At the same time, the parameter setting of STARS algorithm and the influence of filter on interrupt detection are also discussed.
【作者单位】：信息工程大学地理空间信息学院;地理信息工程国家重点实验室;西安测绘研究所;信息工程大学导航与空天目标学院;
【基金】：国家高技术研究发展计划(863计划)(2013AA122501) 国家自然科学基金(41374019,41020144004,41474015) 地理信息工程国家重点实验室开放研究基金(SKLGIE2015-Z-1-1)~~
【分类号】：P228.4

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