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Abstract
Network Real Time Kinematic (NRTK) positioning with instantaneous ambiguity resolution (AR), Precise Point Positioning (PPP), and PPP-RTK are currently popular techniques for real-time precise positioning using carrier phase observations. These techniques have been widely used in civilian and military fields. Both NRTK and PPP-RTK provides centimeter-level positioning services with a relatively short initialization time. However, they are limited to the local or regional area due to the atmospheric effect over long-range baselines. In contrast, a reliable real-time PPP service can provide precise positioning on a global scale. However, PPP needs a comparatively long initialization time of about 20-30 minutes. In this presentation, the work on long-range RTK positioning with multiple Global navigation satellite systems (GNSS) constellations and multiple frequency signals to realize the real time centimeter-level precise positioning service on a global scale is reported. To achieve the purpose, several key issues have to be solved: fast estimation of the atmospheric effects, reliable ambiguity validation and efficient AR for long-range baselines.
Speaker
Prof. Wu Chen is a professor at Department of Land Surveying and Geoinformatics (LSGI), Hong Kong Polytechnic University. He received his BSc degree from Chinese University of Science and Technology, MSc from the Institute of Geodesy and Geophysics, China, and PhD from University of Newcastle Upon Tyne, UK. He has been actively working on GNSS related research for over 30 years and has been working on a large number of research projects funded by universities, governments, and industries. He is currently associate head of the Department of Land Surveying and Geoinformatics and the director of Navigation and ITS laboratory. His main research interests are GNSS applications, GNSS performance evaluation, and system integration. He has published over 300 technical papers in various journals and international conferences.
Please find a copy of the presentation here.