张东华,李志娟,刘全明,黄磊

• 1:内蒙古农业大学
• 2:内蒙古自治区航空遥感测绘院

摘要(Abstract)：

针对时间序列数据中存在的粗差问题,该文首先介绍了奇异谱分析法(SSA)和未确知滤波法(UF)的工作原理,考虑到SSA方法在识别趋势项和周期性信号方面及UF算法在区分粗差和异常值上的优势,在SSA准确提取信号的基础上结合UF算法提出了一种新的SSA-UF粗差探测法:首先利用SSA提取观测值序列的信号并获取残余分量;然后通过UF算法对残余分量进行分析确定粗差点的位置;最后确定粗差点并剔除。通过单因素和多因素主导变形的观测值序列两个实例的验证分析,结果表明,该文中提出的SSA-UF粗差探测法与SSA数据统计方法相比在监测数据处理中的粗差探测效果明显,可靠性更高,为后续监测数据分析处理奠定了较好的基础。

关键词(KeyWords)： 奇异谱分析;变形监测时间序列;粗差探测;未确知滤波

Abstract:

Keywords:

基金项目(Foundation): 内蒙古自治区高等学校科学研究项目(NJZY20049,NJZY18064);; 国家自然科学基金项目(51969023,51569018);; 内蒙古自治区自然科学基金资助项目(2018MS05005);; 内蒙古农业大学高层次人才科研启动项目(NDYB2018-60)

作者(Author): 张东华,李志娟,刘全明,黄磊

DOI: 10.16251/j.cnki.1009-2307.2020.08.003

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