GPS/PWV时间序列特征提取方法的研究

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英文篇名：Research on a Feature Extraction Method of GPS/PWV Time Series 作者：胡广保 ; 叶世榕 ; 张彦祥 ; 夏朋飞 ; 夏凤雨 英文作者：HU Guangbao;YE Shirong;ZHANG Yanxiang;XIA Pengfei;XIA Fengyu;GNSS Research Center,Wuhan University;Dongguan Institute of Surveying and Mapping; 关键词：GPS/PWV ; 特征提取 ; 滤波辅助的PEEMD ; Hilbert谱分析 英文关键词：GPS/PWV;;feature extraction;;filter-assisted PEEMD;;Hilbert spectrum 中文刊名：大地测量与地球动力学 英文刊名：Journal of Geodesy and Geodynamics 机构：武汉大学卫星导航定位技术研究中心;东莞市测绘院; 出版日期：2019-01-15 出版单位：大地测量与地球动力学 年：2019 期：01 基金：国家自然科学基金(41074008);; 国家重点研发计划(2016YFB0800405);; 福建省发展引导性基金(2016Y0002);; 福建省测绘地理信息局科技创新项目(2016J01);; 国家水利部公益性行业科研专项(201401072)~~ 语种：中文; 页：40-44+114 页数：6 CN：42-1655/P ISSN：1671-5942 分类号：P228.4

摘要

针对GAMIT/GLOBK软件解算得到的4aGPS/PWV时间序列的特征提取问题,提出基于滤波辅助的部分集成经验模态分解(PEEMD)与Hilbert谱分析相结合的特征提取方法。首先,在PEEMD方法的基础上,结合滤波辅助的PEEMD方法与Hilbert谱分析,建立GPS/PWV时间序列特征提取模型;然后,将所提出的方法应用于TNML测站4a的GPS/PWV长时间序列和7d的GPS/PWV短时间序列分析中,并将滤波辅助的PEEMD结果与传统的小波分解结果进行对比。结果表明,该特征提取方法能准确有效地提取出GPS/PWV时间序列中的周年周期和日周期特征分量,滤波辅助的PEEMD分解结果与小波分解结果一致,且提取的特征分量与原始信号更加吻合。
        To extract the features of 4-year GPS/PWV time series obtained by GAMIT/GLOBK software,we propose a GPS/PWV feature extraction method based on combination filter-assisted partly ensembled empirical mode decomposition(PEEMD)and Hilbert spectrum.First,filter-assisted PEEMD is combined with Hilbert spectrum to establish the feature extraction model of GPS/PWV.Then,the proposed method is applied to analyze the 4-year and 7-day GPS/PWV time series at TNML station,and the result of filter-assistedPEEMD is compared with the result of traditional wavelet decomposition.The results show that the proposed feature extraction method can accurately extract the feature components of annual and daily cycles,and that the results of the filter-assisted PEEMD are consistent with those of the wavelet decomposition,and that the extracted feature component are more coincident with the original signal.

引文

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