@inproceedings{58f97cb368b84d7f8c298a7e461bae28,
title = "A 5G-Assisted GNSS Spoofing Detection Method in a GNSS-5G Hybrid Positioning System",
abstract = "The fifth generation (5G) signals are immune to Global Navigation Satellite System (GNSS) spoofing attacks, so they have the capability to help GNSS user equipment (UE) detect hazardous spoofing attacks. The conventional innovation-based fault detection scheme can be extended to the EKF-based GNSS-5G hybrid positioning system for spoofing detection. However, the UE maneuver causes abnormal values of innovation, resulting in frequent false alarms. To solve this problem, this paper constructs a new type of test statistics by modifying the “innovation” in the conventional detection method. It exploits GNSS single point positioning (SPP) results to predict the current 5G measurements, which are then used to replace the EKF-based predicted measurements. The difference between the newly estimated 5G measurements and the received 5G measurements is employed to construct the new “innovation” for spoofing detection. Results show that the false alarm probability due to UE{\textquoteright}s maneuver is significantly reduced.",
keywords = "Global Navigation Satellite System (GNSS), Hybrid positioning, Receiver maneuver, Spoofing detection, The fifth-generation (5G) communication system",
author = "Lu Bai and Chao Sun and Dempster, \{Andrew G.\} and Wenquan Feng",
note = "Publisher Copyright: {\textcopyright} 2024, Aerospace Information Research Institute.; 14th China Satellite Navigation Conference, CSNC 2024 ; Conference date: 22-05-2024 Through 24-05-2024",
year = "2024",
doi = "10.1007/978-981-99-6928-9\_42",
language = "英语",
isbn = "9789819969272",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "488--496",
editor = "Changfeng Yang and Jun Xie",
booktitle = "China Satellite Navigation Conference (CSNC 2024) Proceedings - Volume 1",
address = "德国",
}