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| HHT??????IGS???????????з????е???? | |
| 引用本文： | 刘焕玲,文汉江,朱广彬,王晓明.HHT??????IGS???????????з????е????[J].大地测量与地球动力学,2013,33(2):67-71. |
| 作者姓名： | 刘焕玲 文汉江 朱广彬 王晓明 |
| 作者单位： | 1. 武汉大学测绘学院,武汉430079;中国测绘科学研究院,北京100830 2. 中国测绘科学研究院,北京,100830 3. 国家测绘地理信息局卫星测绘应用中心,北京,100830 |
| 摘 要： | ???t????????????????????????????2000-2006?????????????У?????????????????????????????????????????????仯?????в???????????????仯???????-0.533 mm/a??-2.083 mm/a?????????????Hilbert?任????????Hilbert?????????-???-??????Hilbert?????????????????????????????????????3 cycle/a????????????????????????????????351???????????????????????仯?????????????н???EMD????????????sym6??db8С???????????б??????????EMD????????????????????????EMD??????????и?????????????????????? |
| 关 键 词： | ??????? HHT EMD С?????? Hilbert??? |
| 收稿时间： | 2012-10-29 |
APPLICATION OF HHT IN TIME SERIES ANALYSIS FOR IGS FIDUCIAL STATIONS |
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| Liu Huanling,Wen Hanjiang,Zhu Guangbin,Wang Xiaoming.APPLICATION OF HHT IN TIME SERIES ANALYSIS FOR IGS FIDUCIAL STATIONS[J].Journal of Geodesy and Geodynamics,2013,33(2):67-71. | |
| Authors: | Liu Huanling Wen Hanjiang Zhu Guangbin Wang Xiaoming |
| Institution: | 1)School of Geodesy and Geomatics,Wuhan University,Wuhan 430079 2)Chinese Academy of Surveying and Mapping, Beijing 100830 3)Satellite Surveying and Mapping Application Center, NASMG, Beijing 100830 |
| Abstract: | Taking the GPS fiducial stations, BJFS and BJSH as the examples, the time series in elevation direction from 2000 to 2006 were decomposed into a finite number of intrinsic mode function，whose frequency was decreasing, and the residual representing the trend of the time series. The linear rates of the two stations were -0.533 mm/a, -2.083 mm/a respectively. Furthermore every component is transformed with Hilbert algorithm, though the procedure two dimensional marginal spectrum and three-dimensional Hilbert spectrum in time-frequency-energy space were obtained and analyzed. The marginal spectrum has perfect time frequency concentration; and then the frequency of high amplitudes is no more than 3 cycle/a. The main components in time series of the both stations are a secular nonlinear trend，and semiannual signals, and annual signals which is obvious and about 351 days. Moreover, Hilbert spectrum has high resolution and the ability of outlier detection. Afterwards the time series was processed by EMD low pass filtering and the result is compared to that of sym6, db8 wavelet. De-noising results by EMD was much superior, slick and no glitch, which indicates that this method is more efficient in eliminating instantaneous strong noise |
| Keywords: | time series HHT EMD wavelet analysis Hilbert spectrum |
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