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http://dx.doi.org/10.11003/JPNT.2018.7.1.43

A Study on Compact Network RTK for Land Vehicles and Real-Time Test Results  

Song, Junesol (Department of Mechanical and Aerospace Engineering and the Institute of Advanced Aerospace Technology, Seoul National University)
Park, Byungwoon (Department of Aerospace Engineering, Sejong University)
Kee, Changdon (Department of Mechanical and Aerospace Engineering and the Institute of Advanced Aerospace Technology, Seoul National University)
Publication Information
Journal of Positioning, Navigation, and Timing / v.7, no.1, 2018 , pp. 43-52 More about this Journal
Abstract
In recent years, the need of high accuracy navigation for vehicles has increased due to the development of autonomous driving vehicles and increase in land transportation convenience. This study is performed for vehicle users to achieve a performance of centimeter-level positioning accuracy by utilizing Compact Network Real-time Kinematic (RTK) that is applicable as a national-level infrastructure. To this end, medium-baseline RTK was implemented in real time to estimate accurate integer ambiguities between reference stations for reliable generation of Network RTK correction using the linear combination of carrier-phase observations and L1/L2 pseudo-range measurements. The residual tropospheric error was estimated in real time to improve the accuracy of double-differenced integer ambiguity resolution between network configuration reference stations that have at least 30 km or longer baseline distance. In addition, C++ based software was developed to enable real-time generation and broadcasting of Compact Network RTK correction information by utilizing an accurately estimated double-differenced integer ambiguity values. As a result, the horizontal and vertical 95% accuracy was 2.5cm and 5.2cm, respectively, without performance degradation due to user's position change within the network.
Keywords
compact RTK; network RTK; spatial decorrelation; land vehicle;
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