GNSS高程时间序列周期项的经验模态分解提取Extracting of periodic component of GNSS vertical time series using EMD
张双成,李振宇,何月帆,侯晓伟,贺正训,王倩怡
摘要(Abstract):
针对传统方法——常振幅常相位的周年+半周年谐波模型法不能准确提取GNSS高程时间序列中周期项问题,该文以中国区域10个IGS基准站在ITRF2008框架下2005—2015年高程时间序列为例,采用经验模态分解(EMD)提取各测站高程时间序列的周期项。对传统方法和EMD两种方法提取的周期项做Lomb_Scargle谱分析,用功率谱图分析了这两种方法提取序列周期项的能力。实验结果表明,EMD方法较传统方法更能准确、自适应地提取GNSS高程时间序列的周期项。
关键词(KeyWords): GNSS高程时间序列;周期项;经验模态分解;Lomb_Scargle谱分析
基金项目(Foundation): 国家自然科学基金项目(41104019,41674001,41731066);; 中央高校基本科研业务费专项(310826172202)
作者(Author): 张双成,李振宇,何月帆,侯晓伟,贺正训,王倩怡
DOI: 10.16251/j.cnki.1009-2307.2018.08.013
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