1. GREAT: A scientific software platform for satellite geodesy and multi-source fusion navigation.
- Author
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Li, Xingxing, Huang, Jiande, Li, Xin, Yuan, Yongqiang, Zhang, Keke, Zheng, Hongjie, and Zhang, Wei
- Subjects
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SATELLITE geodesy , *OPTIMIZATION algorithms , *ORBIT determination , *GEODETIC techniques , *MODULAR construction - Abstract
• The software supports space geodetic data processing, precise positioning and orbit determination, and multi-source fusion navigation. • The core computational engines are written using C++ language and apply efficiency optimization algorithms such as parallel computing, with modular structure, cross-platform capabilities and efficient performance. • The software provides both client and server functions for high-precision navigation services, and centimeter-level multi-source fusion navigation can be achieved in urban scenarios though the integrated system of PPP-RTK/MEMS/VIS/LiDAR. The software platform named GNSS + REsearch, Application and Teaching (GREAT) has been designed and developed by Wuhan University for satellite geodesy and multi-source fusion navigation. GREAT is a comprehensive software platform based on C++ language, with modular structure, cross-platform capabilities and efficient performance. The software mainly focuses on space geodetic data processing, precise positioning and orbit determination, and multi-source fusion navigation. With the integration of multiple space geodetic techniques at observation level, GREAT can achieve the determination of global geodetic parameters. Meanwhile, GREAT can also achieve real-time precise orbit and clock determination by processing GNSS data from globally distributed stations, and the accuracies are about 3–6 cm for orbit and 0.1–0.4 ns for clock. Based on high-precision orbit and clock products, centimeter-level onboard positioning accuracies can be achieved with PPP-RTK in open-sky scenarios. Furthermore, centimeter-level multi-source fusion navigation can be achieved in urban scenarios though the integrated system of PPP-RTK/MEMS/VIS/LiDAR. Additionally, efficiency optimization algorithms such as parallel computing are applied to enable the software to handle the data-intensive and calculation-intensive situations. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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