| Single Epoch GPS Deformation Signals Extraction and Gross Error Detection Technique Based on Wavelet Transform |
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| 作者姓名： | WANG Jian GAO Jingxiang XU Changhui |
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| 作者单位： | [1]School of Environment and Spatial Informatics, China University of Mining and Technology, Zhaishan, Quanshan District , Xuzhou 221008 , China [2]Institute of Photogrammetry and Remote Sensing, CASM, Beijing 100039, China. |
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| 基金项目： | Supported by Specialized Research Fundfor the Doctoral Programof Higher Educationin China(No.20040290503)，Science and Technology Fundationof CUMT(No.2005B020) . |
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| 摘 要： | IntroductionGPS technique is widely used for deformationmonitoring thanks for the high precision. Usual-ly , there are three working modes associatedwith GPS deformation observation: periodicalGPS deformation monitoring net , GPS monito-ring array and rea…
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| 关 键 词： | GPS 全球定位系统 测量误差 子波 |
| 文章编号： | 1009-5020（2006）03-187-04 |
| 收稿时间： | 2006-02-28 |
Single epoch GPS deformation signals extraction and gross error detection technique based on wavelet transform |
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| WANG Jian GAO Jingxiang XU Changhui.Single Epoch GPS Deformation Signals Extraction and Gross Error Detection Technique Based on Wavelet Transform[J].Geo-Spatial Information Science,2006,9(3):187-190. |
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| Authors: | Wang Jian Ph D Gao Jingxiang Xu Changhui |
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| Institution: | WANG Jian GAO Jingxiang XU Changhui |
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| Abstract: | Wavelet theory is efficient as an adequate tool for analyzing single epoch GPS deformation signal. Wavelet analysis technique on gross error detection and recovery is advanced. Criteria of wavelet function choosing and Mallat decomposition levels decision are discussed. An effective deformation signal extracting method is proposed, that is wavelet noise reduction technique considering gross error recovery, which combines wavelet multi-resolution gross error detection results. Time position recognizing of gross errors and their repairing performance are realized. In the experiment, compactly supported orthogonal wavelet with short support block is more efficient than the longer one when discerning gross errors, which can obtain more finely analyses. And the shape of discerned gross error of short support wavelet is simpler than that of the longer one. Meanwhile, the time scale is easier to identify. |
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| Keywords: | noise single epoch GPS deformation signal Mallat algorithm gross error detection gross error recovery |
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