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作者: Zhang Qianqian, Gui Qingming 文題: Bayesian methods for outliers detection in GNSS time series 期刊名: Journal of Geodesy 期刊年份: 2013 卷(期),起止頁碼: 87(7):609-627 Doi: 10.1007/s00190-013-0640-5 求該文獻(xiàn)的檢索號~~謝謝！ |
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baiyuefei
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【答案】應(yīng)助回帖
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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 頁: 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. 關(guān)鍵詞 作者關(guān)鍵詞:GNSS time series; Bayesian methods; Additive outlier; Innovative outlier; Masking; Cycle slips KeyWords Plus:GPS; DISCONTINUITIES; IDENTIFICATION; WEIGHTS; NOISE; MODEL 作者信息 通訊作者地址: Zhang, QQ (通訊作者) 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 電子郵件地址:zhangqianqian0216@163.com; guiqm@public.zz.ha.cn 基金資助致謝 基金資助機(jī)構(gòu) 授權(quán)號 National Science Foundation of China 40974009 41174005 Planned Research Project of Technology of Zhengzhou City China's satellite navigation 查看基金資助信息 出版商 SPRINGER, 233 SPRING ST, NEW YORK, NY 10013 USA 類別 / 分類 研究方向:Geochemistry & Geophysics; Remote Sensing Web of Science 類別:Geochemistry & Geophysics; Remote Sensing 文獻(xiàn)信息 文獻(xiàn)類型:Article 語種:English 入藏號: WOS:000320508900001 ISSN: 0949-7714 期刊信息 Impact Factor (影響因子): Journal Citation Reports® 其他信息 IDS 號: 165UA Web of Science 核心合集中的 "引用的參考文獻(xiàn)": 50 Web of Science 核心合集中的 "被引頻次": 0 |
2樓2014-01-22 09:05:02
baiyuefei
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3樓2014-01-22 09:05:24
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