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http://dx.doi.org/10.5762/KAIS.2017.18.3.31

Experimental Implementation of Continuous GPS Data Processing Procedure on Near Real-Time Mode for High-Precision of Medium-Range Kinematic Positioning Applications  

Lee, Hungkyu (School of Civil, Environmental and Chemical Engineering, Changwon National University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.18, no.3, 2017 , pp. 31-40 More about this Journal
Abstract
This paper deals with the high precision of GPS measurement reduction and its implementation on near real-time and kinematic mode for those applications requiring centimeter-level precision of the estimated coordinates, even if target stations are a few hundred kilometers away from their references. We designed the system architecture, data streaming and processing scheme. Intensive investigation was performed to determine the characteristics of the GPS medium-range functional model, IGS infrastructure and some exemplary systems. The designed system consisted of streaming and processing units; the former automatically collects GPS data through Ntrip and IGS ultra-rapid products by FTP connection, whereas the latter handles the reduction of GPS observables on static and kinematic mode to a time series of the target stations' 3D coordinates. The data streaming unit was realized by a DOS batch file, perl script and BKG's BNC program, whereas the processing unit was implemented by definition of a process control file of BPE. To assess the functionality and precision of the positional solutions, an experiment was carried out against a network comprising seven GPS stations with baselines ranging from a few hundred up to a thousand kilometers. The results confirmed that the function of the whole system properly operated as designed, with a precision better than ${\pm}1cm$ in each of the positional component with 95% confidence level.
Keywords
GPS; Kinematic Coordinates Estimation; Medium-Range; Near-Real Time; Relative Positioning;
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1 B. Hofmann-Wellenhof, H. Lichtenegger, J. CaBins, GPS: theory and practice. Fifth edition, Springer-Verlag, pp. 181-202. 2001.
2 I. Cho, H. Lee, "Experimental assessment on accuracy of kinematic coordinate estimation for CORS by GPS medium-range baseline processing technique", Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, vol. 34, no. 1, pp. 79-90. 2016. DOI: https://doi.org/10.7848/ksgpc.2016.34.1.79   DOI
3 Y. Bock, H. Cecil, M. Ida, "Medium distance GPS measurements", in: P. Teunissen and A. Kleusberg (eds.) GPS for Geodesy, Springer, pp. 483-536, 1998. DOI: https://doi.org/10.1007/978-3-642-72011-612
4 B. Park, T. A. Musa, H. Lee, Y. Choi, H. Yoon, C. Cho, "The first results of analyzing GPS observations at IEODO ocean research station in Korea", Proceedings of FIG Congress 2014, Paper no. 7417, 2014.
5 Scripps Orbit and Permanent Array Center. CRTN description, Available From: http://sopac.ucsd.edu/crtnDescription.shtml. (accessed Jan. 2017)
6 T. Herring, GPS data analysing plan: GAGA, Available From: https://www.unavco.orgldatalgps-gnss /derived-products/docs/GAGE GPS_Analysis_ACC_20150908.pdf. (accessed Dec., 28, 2016).
7 T. Imakiire, GNSS CORS and reference frame, Available From: https://www.fig.net/resources/proceedings/2013/2013_reference/frame_in_practice_comm5/1.4_geonet_imakiire.pdf. (accessed Dec., 28. 2016)
8 Land Information New Zealand, GPS processing notes, Available From: http://info.geonet.org.nz/display /appdatalGPS+Processing+Notes. (accessed Feb., 15, 2015)
9 E. Brockmarm, Automated GNSS network Switzerland (AGNES), Available From: http://www.epncb.oma.be/_documentation/papers/eurefsymposium2006/monitoring_the_automated_gps_network_of_switzerland_agnes.pdf. (accessed Jan. 2017)
10 A. Leick, L. Rapoport, D. Tatamikov, GPS satellite surveying. Fourth edition, Wiley, pp. 257-295, 2015. DOI: https://doi.org/10.1002/9781119018612
11 C. Rizos, Principles and practice of GPS surveying, pp. 101-303, University of New South Wales, Australia, 1997.
12 International GNSS Services, IGS products, Available From: http://igs.org/products. (accessed Jan., 20, 2017).
13 S. Gabriele, F. Chiaravalloti, G. D'Aquila, C. Tansi, "Distributed real-time monitoring system to natural hazard evaluation and management: the AMAiR system", Proceedings of 18th World IMACS/MODSIM Congress, pp. 2672-2678, 2009 .
14 T. C. Shin, K. W. Kuo, P. L. Leu, C. H. Tsai, J. S. Jian, Continuous CWB GPS array in Taiwan and applications to monitoring seismic activity, Terrestrial, Atmospheric and Oceanic Science, vol. 22, no. 5, pp. 521-533, 2011. DOI: https://doi.org/10.3319/TAO.2011.05.18.01(T)   DOI
15 G. Petit, B. Luzum, IERS conventions (2010), IERS Technical Note no. 36, p. 179, 2010.
16 H. Lee, "An instantaneous integer ambiguity resolutioo for GPS real-time structural monitoring", Journal of Korean Society of Civil Engineers, vol. 34, no. 1, pp. 34 1-353, 2014. DOI: https://doi.org/10.12652/Ksce.2014.34.1.0341   DOI
17 Radio Technical Commission for Maritime Services, New standard for networked transfer of RTCM via internet protocol (Ntrip), Available From: https://igs.bkg.bund.de/root_fip/NTRIP/documentation/NtripPressRelease.pdf. (accessed Jan. 2017).
18 BKG, Open source Ntrip software, Available From: https://igs.bkg.bood.de/ntrip/download. (accessed Jan. 2017).
19 R. Dach, U. Hugentobler, P. Fridez, M. Meindl, Bernese GPS software version 5.0, Astronomical Institute, University of Bern, pp. 381-424, 2007.