TY - GEN
T1 - Civil Aviation GNSS Interference Detection and Location Based on Genetic Algorithm Using ADS-B Data
AU - Li, Jinqi
AU - Wang, Hongxia
AU - Dan, Zhiqiang
AU - Xu, Jiahao
AU - Wang, Zhipeng
AU - Zhu, Yanbo
N1 - Publisher Copyright:
© 2023 Proceedings of the 36th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2023. All rights reserved.
PY - 2023
Y1 - 2023
N2 - According to the 41st session of the ICAO assembly, the very low strength of GNSS signals received from satellites makes GNSS vulnerable to radio frequency interference (RFI), and other undesirable disturbances, which poses a threat to aviation safety. In the field of civil aviation, the performance of GNSS is directly related to NACp, NUCp and other data widely used in Automatic Dependent Surveillance-Broadcast (ADS-B) system, where GNSS RFI can be reflected and located by their numerical changes. Interference detection and location based on ADS-B is a new way to solve GNSS RFI problem in civil aviation. Current researches focus on improving the performance of the algorithm, but there are few studies on the impact mechanism of GNSS RFI. This paper analyzes the influence of GNSS RFI on ADS-B data in principle, and provides theoretical support for algorithm, detects and locates RFI using genetic algorithm. The performance of the proposed detection and location algorithm is verified with the interference events in Chengdu, China in March 2021. It has made an attempt to the application of civil aviation surveillance and navigation fusion and to deal with GNSS RFI. This research provides theoretical reference and technical support for the detection and location of GNSS RFI in civil aviation.
AB - According to the 41st session of the ICAO assembly, the very low strength of GNSS signals received from satellites makes GNSS vulnerable to radio frequency interference (RFI), and other undesirable disturbances, which poses a threat to aviation safety. In the field of civil aviation, the performance of GNSS is directly related to NACp, NUCp and other data widely used in Automatic Dependent Surveillance-Broadcast (ADS-B) system, where GNSS RFI can be reflected and located by their numerical changes. Interference detection and location based on ADS-B is a new way to solve GNSS RFI problem in civil aviation. Current researches focus on improving the performance of the algorithm, but there are few studies on the impact mechanism of GNSS RFI. This paper analyzes the influence of GNSS RFI on ADS-B data in principle, and provides theoretical support for algorithm, detects and locates RFI using genetic algorithm. The performance of the proposed detection and location algorithm is verified with the interference events in Chengdu, China in March 2021. It has made an attempt to the application of civil aviation surveillance and navigation fusion and to deal with GNSS RFI. This research provides theoretical reference and technical support for the detection and location of GNSS RFI in civil aviation.
UR - https://www.scopus.com/pages/publications/85184589842
U2 - 10.33012/2023.19392
DO - 10.33012/2023.19392
M3 - 会议稿件
AN - SCOPUS:85184589842
T3 - Proceedings of the 36th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2023
SP - 4168
EP - 4182
BT - Proceedings of the 36th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2023
PB - Institute of Navigation
T2 - 36th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2023
Y2 - 11 September 2023 through 15 September 2023
ER -