BDS/AeroMACS Integrated Positioning Algorithm for Airport Surface Surveillance

Wang Zhipeng, Gao Zhen, Du Jingtian, Zhu Yanbo

Abstract:	With the increasing traffic volume of the airport, ensuring the safe and effective operation of the airport has become one of the major challenges in the field of civil aviation. The real-time positioning in the airport is worthwhile devoting much effort. The paper proposes a method of Beidou Navigation Satellite System (BDS) and Aeronautical Mobile Airport Communications System (AeroMACS) integrated positioning for airport surface surveillance, based on the experimental scene at Hehua Airport. Compared with the original GNSS positioning method, the integrated positioning algorithm can effectively solve the problem that GNSS is unavailable, because of the occlusion happened at the airport surface. The method gives the Doppler Shift ranging for AeroMACS, Fault detection and identification algorithm based on Kalman Filtering, and protect level algorithm based on filter innovation. Results of simulation shows that this paper breaks the limitation of satellite conditions by means of the cooperative positioning, and improves the availability of Receiver Autonomous Integrity Monitoring.
Published in:	Proceedings of the 2020 International Technical Meeting of The Institute of Navigation January 21 - 24, 2020 Hyatt Regency Mission Bay San Diego, California
Pages:	801 - 816
Cite this article:	Zhipeng, Wang, Zhen, Gao, Jingtian, Du, Yanbo, Zhu, "BDS/AeroMACS Integrated Positioning Algorithm for Airport Surface Surveillance," Proceedings of the 2020 International Technical Meeting of The Institute of Navigation, San Diego, California, January 2020, pp. 801-816. https://doi.org/10.33012/2020.17179
Full Paper:	ION Members/Non-Members: 1 Download Credit Sign In