A novel method for the quantitative assessment of the ionosphere effect on high accuracy GNSS applications,which require ambiguity resolution |
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| Institution: | 1. Institute of Atmospheric Physics of ASCR, Prague, Czech Republic;2. Rutherford Appleton Laboratory, Chilton, United Kingdom;1. GPS Science and Application Research Center, National Central University, 300 Jhongda Road, Jhongli City 32001, Taiwan;2. Department of Civil Engineering, National Chiao Tung University, 1001 Ta Hsueh Road, Hsinchu 300, Taiwan;3. Institute of Geodesy and Geoinformatics, Wrocław University of Environmental and Life Sciences, Grunwaldzka 53, 50-357 Wrocław, Poland;4. Department of Geomatics, National Cheng Kung University, No. 1, University Road, Tainan 701, Taiwan;5. National Space Organization, 8F, 9 Prosperity 1st Road, Hsinchu 30078, Taiwan;1. State Key Laboratory of Rolling and Automation, Northeastern University, Shenyang 110819, China;2. School of Materials Science and Engineering, Harbin Institute of Technology, Harbin 150001, China;1. School of Surveying and Mapping, PLA Information Engineering University, Zhengzhou 450001, China;2. State Key Laboratory of Geo-information Engineering, Xi’an 710054, China;3. Henan University of Technology, Zhengzhou 450001, China |
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| Abstract: | Real time kinematic, or RTK, is a high-accuracy GPS relative positioning technique, which allows to measure positions in real time with an accuracy usually better than 1 decimeter. Ionospheric small-scale variability can strongly degrade RTK accuracy. In this paper, we present a method allowing to assess in a direct quantitative way the influence of the ionospheric activity on RTK accuracy. We apply this method to two different ionospheric situations: a day where strong travelling ionospheric disturbances (TIDs) were detected (December 24, 2004) and a day where a severe geomagnetic storm was observed (November 20, 2003). We show that on a 4 km baseline, strong TIDs have the same influence as the ionospheric variability induced by a geomagnetic storm on RTK accuracy: in both cases errors of more than 1.5 m are observed. |
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