Open Access
Issue |
JNWPU
Volume 40, Number 3, June 2022
|
|
---|---|---|
Page(s) | 670 - 678 | |
DOI | https://doi.org/10.1051/jnwpu/20224030670 | |
Published online | 19 September 2022 |
- WANG Yuan, ZHENG Xiangming. Path following of nano quad-rotors using a novel disturbance observer-enhanced dynamic inversion approach[J]. Aeronautical Journal, 2019, 123(1266): 1122–1134. [Article] [CrossRef] [Google Scholar]
- WANG Li, WANG Pu, YAN Zheng. A survey on secure communication of unmanned aerial vehicles[J]. Cyberspace Security, 2019, 10(9): 13–19. [Article] (in Chinese) [Google Scholar]
- BLAZY O, BONNEFOI P F, CONCHON E, et al. An efficient protocol for UAS security[C]//Integrated Communications, Navigation & Surveillance Conference, 2017: 1–21 [Google Scholar]
- HU Tianyi, MA Fangshu, SHANG Yong, et al. Physical layer security of untrusted UAV-enabled relaying NOMA network using SWIPT and the cooperative jamming[C]//2021 IEEE 94th Vehicular Technology Conference, 2021: 1–6 [Google Scholar]
- YANG Sen, XI Leiping, HAO Jiaxing, et al. Aerodynamic-parameter identification and attitude control of quad-rotor model with CIFER and adaptive LADRC[J]. Chinese Journal of Mechanical Engineering, 2021, 34(1): 150–159 [NASA ADS] [Google Scholar]
- HUANG Fanjing, WU Panlong, LI Xingxiu. Distributed flocking control of quad-rotor UAVS with obstacle avoidance under the parallel-triggered scheme[J]. International Journal of Control Automation and Systems, 2021, 19(3): 1375–1383. [Article] [CrossRef] [Google Scholar]
- WANG Zhigang, ZHAO Hong, DUAN Dengyan, et al. Application of improved active disturbance rejection control algorithm in tilt quad rotor[J]. Chinese Journal of Aeronautics, 2020, 33(6): 1625–1641. [Article] [CrossRef] [Google Scholar]
- CHEN Kun, SHI Zhiwei, TONG Shengxiang, et al. Aerodynamic interference test of quad tilt rotor aircraft in wind tunnel[J]. Journal of Aerospace Engineering, 2019, 233(15): 5553–5566 [Google Scholar]
- WANG Tingting, CAI Zhihao, WANG Yingxun. Integrated vision/inertial navigation method of UAVs in indoor environment[J]. Journal of Beijing University of Aeronautics and Astronautics, 2018, 44(1): 176–186. [Article] (in Chinese) [Google Scholar]
- MA Zhuoran, MA Jianfeng, MIAO Yinbin, et al. State transition-based access control model in the UAV network[J]. Journal of Xidian University, 2018, 45(6): 44–50 [Google Scholar]
- MAJIDI M, ERFANIAN A, KHALOOZADEH H. Prediction-discrepancy based on innovative particle filter for estimating UAV true position in the presence of the GPS spoofing attacks[J]. IET Radar, Sonar & Navigation, 2020, 14(6): 887–897 [CrossRef] [Google Scholar]
- LEE J H, KWON K C, AN D S, et al. GPS spoofing detection using accelerometers and performance analysis with probability of detection[J]. International Journal of Control, Automation & Systems, 2015, 13(4): 951–959 [CrossRef] [Google Scholar]
- CHEN Liang, MIAO Meixia, MA Jianfeng, et al. Detection of global positioning system spoofing attack on unmanned aerial vehicle system[J]. Concurrency and Computation Practice and Experience, 2020, 34(7): 1–14 [Google Scholar]
- QIAO Yinrong, ZHANG Yuxing, DU Xiao. A vision-based GPS-spoofing detection method for small UAVs[C]//2017 13th International Conference on Computational Intelligence and Security, 2017: 312–316 [Google Scholar]
- WANG Jialiang. Research and implementation of indoor obstacle avoidance and navigation based on small size quad-rotor helicopter with OS/JVM[D]. Shenyang: Northeastern University, 2014 (in Chinese) [Google Scholar]
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