TY - GEN
T1 - Observer-Based Detection and Estimation for UAVs Subject to Remote Signal Attacks and Disturbances
AU - Gu, Yapei
AU - Yu, Xiang
AU - Guo, Kexin
AU - Guo, Lei
N1 - Publisher Copyright:
© 2022, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2022
Y1 - 2022
N2 - This paper presents an attack detection and estimation approach to enhance the anti-attack performance for unmanned aerial vehicles (UAVs). The problem of remote signals being tampered by attackers is investigated. First, detect ability of attacks based on authentication signals estimation error is explored. The threshold of the detection mechanism is designed using the upper bound of disturbance. Subsequently, after being detected, the attack model on the control system is established which can further facilitate the attack estimation. Second, attack observer and disturbance observer are designed to estimate attack and disturbance simultaneously. Finally, simulation examples are presented to illustrate the effectiveness of the proposed methods.
AB - This paper presents an attack detection and estimation approach to enhance the anti-attack performance for unmanned aerial vehicles (UAVs). The problem of remote signals being tampered by attackers is investigated. First, detect ability of attacks based on authentication signals estimation error is explored. The threshold of the detection mechanism is designed using the upper bound of disturbance. Subsequently, after being detected, the attack model on the control system is established which can further facilitate the attack estimation. Second, attack observer and disturbance observer are designed to estimate attack and disturbance simultaneously. Finally, simulation examples are presented to illustrate the effectiveness of the proposed methods.
KW - Attack and disturbance observers
KW - Attack detection
KW - Remote signal attacks
KW - Unmanned aerial vehicles
UR - https://www.scopus.com/pages/publications/85120630534
U2 - 10.1007/978-981-15-8155-7_247
DO - 10.1007/978-981-15-8155-7_247
M3 - 会议稿件
AN - SCOPUS:85120630534
SN - 9789811581540
T3 - Lecture Notes in Electrical Engineering
SP - 2959
EP - 2970
BT - Advances in Guidance, Navigation and Control - Proceedings of 2020 International Conference on Guidance, Navigation and Control, ICGNC 2020
A2 - Yan, Liang
A2 - Duan, Haibin
A2 - Yu, Xiang
PB - Springer Science and Business Media Deutschland GmbH
T2 - International Conference on Guidance, Navigation and Control, ICGNC 2020
Y2 - 23 October 2020 through 25 October 2020
ER -