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Zhang Qianqian, Gui Qingming
ÎÄÌâ:
Bayesian methods for outliers detection in GNSS time series
ÆÚ¿¯Ãû:
Journal of Geodesy
ÆÚ¿¯Äê·Ý:
2013
¾í(ÆÚ),ÆðÖ¹Ò³Âë:
87(7):609-627
Doi:
10.1007/s00190-013-0640-5

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Bayesian methods for outliers detection in GNSS time series


×÷Õß:Zhang, QQ (Zhang Qianqian)[ 1,2 ] ; Gui, QM (Gui Qingming)[ 1 ]




JOURNAL OF GEODESY



¾í: 87

ÆÚ: 7

Ò³: 609-627

DOI: 10.1007/s00190-013-0640-5

³ö°æÄê: JUL 2013

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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.


¹Ø¼ü´Ê

×÷Õ߹ؼü´Ê:GNSS time series; Bayesian methods; Additive outlier; Innovative outlier; Masking; Cycle slips

KeyWords Plus:GPS; DISCONTINUITIES; IDENTIFICATION; WEIGHTS; NOISE; MODEL


×÷ÕßÐÅÏ¢

ͨѶ×÷ÕßµØÖ·: Zhang, QQ (ͨѶ×÷Õß)



      

Informat Engn Univ, Inst Sci, 62 Kexue Rd, Zhengzhou 450001, Peoples R China.



µØÖ·:



      

[ 1 ] Informat Engn Univ, Inst Sci, Zhengzhou 450001, Peoples R China



      

[ 2 ] Informat Engn Univ, Inst Geospatial Informat, Zhengzhou 450052, Peoples R China



µç×ÓÓʼþµØÖ·:zhangqianqian0216@163.com; guiqm@public.zz.ha.cn


»ù½ð×ÊÖúÖÂл



»ù½ð×ÊÖú»ú¹¹

ÊÚȨºÅ



National Science Foundation of China


40974009

41174005



Planned Research Project of Technology of Zhengzhou City





China's satellite navigation



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SPRINGER, 233 SPRING ST, NEW YORK, NY 10013 USA


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Ñо¿·½Ïò:Geochemistry & Geophysics; Remote Sensing

Web of Science Àà±ð:Geochemistry & Geophysics; Remote Sensing


ÎÄÏ×ÐÅÏ¢

ÎÄÏ×ÀàÐÍ:Article

ÓïÖÖ:English

Èë²ØºÅ: WOS:000320508900001

ISSN: 0949-7714


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Impact Factor (Ó°ÏìÒò×Ó): Journal Citation Reports®


ÆäËûÐÅÏ¢

IDS ºÅ: 165UA

Web of Science ºËÐĺϼ¯ÖÐµÄ "ÒýÓõIJο¼ÎÄÏ×": 50

Web of Science ºËÐĺϼ¯ÖÐµÄ "±»ÒýƵ´Î": 0
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