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Open AccessArticle

A Comprehensive Method for GNSS Data Quality Determination to Improve Ionospheric Data Analysis

by 1, 2,3 and 1,*
1
Division of Aerospace Engineering, Korea Advanced Institute of Science and Technology, 291 Daehak-ro, Daejeon 305-701, Korea
2
School of Integrated Technology, Yonsei University, 85 Songdogwahak-ro, Incheon 406-840, Korea
3
Yonsei Institute of Convergence Technology, Yonsei University, 85 Songdogwahak-ro, Incheon 406-840, Korea
*
Author to whom correspondence should be addressed.
Sensors 2014, 14(8), 14971-14993; https://doi.org/10.3390/s140814971
Received: 5 October 2013 / Revised: 18 July 2014 / Accepted: 6 August 2014 / Published: 14 August 2014
(This article belongs to the Section Physical Sensors)
Global Navigation Satellite Systems (GNSS) are now recognized as cost-effective tools for ionospheric studies by providing the global coverage through worldwide networks of GNSS stations. While GNSS networks continue to expand to improve the observability of the ionosphere, the amount of poor quality GNSS observation data is also increasing and the use of poor-quality GNSS data degrades the accuracy of ionospheric measurements. This paper develops a comprehensive method to determine the quality of GNSS observations for the purpose of ionospheric studies. The algorithms are designed especially to compute key GNSS data quality parameters which affect the quality of ionospheric product. The quality of data collected from the Continuously Operating Reference Stations (CORS) network in the conterminous United States (CONUS) is analyzed. The resulting quality varies widely, depending on each station and the data quality of individual stations persists for an extended time period. When compared to conventional methods, the quality parameters obtained from the proposed method have a stronger correlation with the quality of ionospheric data. The results suggest that a set of data quality parameters when used in combination can effectively select stations with high-quality GNSS data and improve the performance of ionospheric data analysis. View Full-Text
Keywords: GNSS reference stations; GNSS observations; quality determination; data quality parameters GNSS reference stations; GNSS observations; quality determination; data quality parameters
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MDPI and ACS Style

Kim, M.; Seo, J.; Lee, J. A Comprehensive Method for GNSS Data Quality Determination to Improve Ionospheric Data Analysis. Sensors 2014, 14, 14971-14993. https://doi.org/10.3390/s140814971

AMA Style

Kim M, Seo J, Lee J. A Comprehensive Method for GNSS Data Quality Determination to Improve Ionospheric Data Analysis. Sensors. 2014; 14(8):14971-14993. https://doi.org/10.3390/s140814971

Chicago/Turabian Style

Kim, Minchan; Seo, Jiwon; Lee, Jiyun. 2014. "A Comprehensive Method for GNSS Data Quality Determination to Improve Ionospheric Data Analysis" Sensors 14, no. 8: 14971-14993. https://doi.org/10.3390/s140814971

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