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PCA空间滤波在高频GPS定位中的应用研究
引用本文:殷海涛,甘卫军,熊永良,肖根如.PCA空间滤波在高频GPS定位中的应用研究[J].武汉大学学报(信息科学版),2011(7):825-829.
作者姓名:殷海涛  甘卫军  熊永良  肖根如
作者单位:中国地震局地质研究所地震动力学国家重点实验室;山东省地震局;西南交通大学测量工程系;
基金项目:地震动力学国家重点实验室开放研究基金资助项目(LED2008B07); 国家自然科学基金重点资助项目(41030317/D0211)
摘    要:利用主成分分析法(PCA)对高频GPS时间序列进行空间滤波,并结合Karhunen-Loeve展开法(KLE)对其结果进行判定,可有效地提取共模误差,提高单历元定位精度。通过对四川GPS连续观测网的计算分析表明,PCA方法可较好地减弱区域共模误差,并能准确地反映共模误差的空间分布,且精度优于传统的堆栈法,这对高频GPS技术的应用和发展具有重要意义。

关 键 词:高频GPS  PCA/KLE空间滤波  堆栈法  共模误差

Study on the Effect of PCA Spatial Filtering on High-rate GPS Positioning
YIN Haitao, GAN Weijun XIONG Yongliang XIAO Genru.Study on the Effect of PCA Spatial Filtering on High-rate GPS Positioning[J].Geomatics and Information Science of Wuhan University,2011(7):825-829.
Authors:YIN Haitao  GAN Weijun XIONG Yongliang XIAO Genru
Institution:YIN Haitao1,2 GAN Weijun1 XIONG Yongliang3 XIAO Genru1(1 State Key Laboratory of Earthquake Dynamics,Institute of Geology,CEA,Qijiahuozi,Beijing,100029,China)(2 Earthquake Administration of Shandong Province,20 East Wenhua Road,Jinan 250014,China)(3 Department of Surveying and Mapping Engineering,Southwest Jiaotong University,11 Erhuan Road,Chengdu 610031,China)
Abstract:In recent years,monitoring strong ground movement based on high-rate GPS continuous observing network has become a research focus in geo-scientific field.The spatial filtering we used is the principal component analysis(PCA) to extract the CME from the high-rate GPS position time series,and the Karhunen-Loeve expansion(KLE) is used to test the components.We process the high rate data from Sichuan GPS Continuous Observing Network,the results show that this method can eliminate the CME effectively,and the acc...
Keywords:high-rate GPS  PCA/KLE spatial filtering  stacking  CME  
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