文章基本信息

标题：Single epoch GPS deformation signals extraction and gross error detection technique based on wavelet transform
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作者：Wang Jian ; Gao Jingxiang ; Xu Changhui 等
期刊名称：Geo-spatial Information Science
印刷版ISSN：1009-5020
电子版ISSN：1993-5153
出版年度：2006
卷号：9
期号：3
页码：187-190
DOI：10.1007/BF02826765
出版社：Taylor and Francis Ltd
摘要：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 wave-let 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.
关键词：noise; single epoch GPS deformation signal; Mallat algorithm; gross error detection; gross error recovery