TY - GEN
T1 - BDS/AEROMACS integrated positioning algorithm for airport surface surveillance
AU - Zhipeng, Wang
AU - Zhen, Gao
AU - Jingtian, Du
AU - Yanbo, Zhu
N1 - Publisher Copyright:
© 2020 ION 2020 International Technical Meeting Proceedings. All rights reserved.
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85082477375
U2 - 10.33012/2020.17179
DO - 10.33012/2020.17179
M3 - 会议稿件
AN - SCOPUS:85082477375
T3 - ION 2020 International Technical Meeting Proceedings
SP - 801
EP - 816
BT - ION 2020 International Technical Meeting Proceedings
PB - Institute of Navigation
T2 - Institute of Navigation International Technical Meeting 2020, ITM 2020
Y2 - 21 January 2020 through 24 January 2020
ER -