2021 International Conference on Sensing Technology and Applications(ICSTA 2021)
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Prof. Xinhua Tang

Prof. Xinhua Tang


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Keynote speech: Information fusion technologies inside GNSS-related navigation system

Abstract

As the development of Global Navigation Satellite System and ever-growing demands of autonomous systems, all-source integrated navigation solutions have become an attractive and challenging topic in both research and industry communities. The keynote speech presents the development of the fusion algorithms in GNSS-related navigation systems, initially it starts from the baseband signal processing algorithms inside a GNSS receiver, introducing the fundamental theory about the receiver technologies. Eventually, GNSS/INS integration algorithms, including loose, tight and ultra-tight strategies, are discussed and compared in details, especially focusing on the mathematical models and practical implementations. Finally, with the newly coming-up sensors, such as LiDAR, cameras and other similar ones, typical all-source integrated navigation systems are proposed and discussed in theory, in the meanwhile, related applications of these all-source navigation techniques  are introduced and analyzed.


Biography

Xinhua Tang received Ph.D. degree in Politecnico di Torino (Italy) in January, 2014. He worked in Istituto Superiore Mario Boella (ISMB), Turin, Italy, in 2014. Currently, he is an associate professor in Southeast University, Nanjing, China. His research topics include GNSS receiver techniques, GNSS/INS integrated navigation system, Multi-source integration systems, Precision agriculture, Autonomous vehicles etc.