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作者: Zhang Qianqian, Gui Qingming 文题: Bayesian methods for outliers detection in GNSS time series 期刊名: Journal of Geodesy 期刊年份: 2013 卷(期),起止页码: 87(7):609-627 Doi: 10.1007/s00190-013-0640-5 求该文献的检索号~~谢谢！ |
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baiyuefei
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Bayesian methods for outliers detection in GNSS time series 作者:Zhang, QQ (Zhang Qianqian)[ 1,2 ] ; Gui, QM (Gui Qingming)[ 1 ] JOURNAL OF GEODESY 卷: 87 期: 7 页: 609-627 DOI: 10.1007/s00190-013-0640-5 出版年: JUL 2013 查看期刊信息 摘要 This article is concerned with the problem of detecting outliers in GNSS time series based on Bayesian statistical theory. Firstly, a new model is proposed to simultaneously detect different types of outliers based on the conception of introducing different types of classification variables corresponding to the different types of outliers; the problem of outlier detection is converted into the computation of the corresponding posterior probabilities, and the algorithm for computing the posterior probabilities based on standard Gibbs sampler is designed. Secondly, we analyze the reasons of masking and swamping about detecting patches of additive outliers intensively; an unmasking Bayesian method for detecting additive outlier patches is proposed based on an adaptive Gibbs sampler. Thirdly, the correctness of the theories and methods proposed above is illustrated by simulated data and then by analyzing real GNSS observations, such as cycle slips detection in carrier phase data. Examples illustrate that the Bayesian methods for outliers detection in GNSS time series proposed by this paper are not only capable of detecting isolated outliers but also capable of detecting additive outlier patches. Furthermore, it can be successfully used to process cycle slips in phase data, which solves the problem of small cycle slips. 关键词 作者关键词:GNSS time series; Bayesian methods; Additive outlier; Innovative outlier; Masking; Cycle slips KeyWords Plus:GPS; DISCONTINUITIES; IDENTIFICATION; WEIGHTS; NOISE; MODEL 作者信息 通讯作者地址: Zhang, QQ (通讯作者) Informat Engn Univ, Inst Sci, 62 Kexue Rd, Zhengzhou 450001, Peoples R China. 地址: [ 1 ] Informat Engn Univ, Inst Sci, Zhengzhou 450001, Peoples R China [ 2 ] Informat Engn Univ, Inst Geospatial Informat, Zhengzhou 450052, Peoples R China 电子邮件地址:zhangqianqian0216@163.com; guiqm@public.zz.ha.cn 基金资助致谢 基金资助机构 授权号 National Science Foundation of China 40974009 41174005 Planned Research Project of Technology of Zhengzhou City China's satellite navigation 查看基金资助信息 出版商 SPRINGER, 233 SPRING ST, NEW YORK, NY 10013 USA 类别 / 分类 研究方向:Geochemistry & Geophysics; Remote Sensing Web of Science 类别:Geochemistry & Geophysics; Remote Sensing 文献信息 文献类型:Article 语种:English 入藏号: WOS:000320508900001 ISSN: 0949-7714 期刊信息 Impact Factor (影响因子): Journal Citation Reports® 其他信息 IDS 号: 165UA Web of Science 核心合集中的 "引用的参考文献": 50 Web of Science 核心合集中的 "被引频次": 0 |
2楼2014-01-22 09:05:02
baiyuefei
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3楼2014-01-22 09:05:24
