UAV Communication and Navigation Signals Jamming Methods
The “black flight” problem is seriously threatening the security of critical areas, and developing effective countermeasures is an urgent need in both military and civilian domains. However, the anti-jamming of unmanned aerial vehicles (UAVs) continues to evolve, and traditional countermeasure systems face challenges such as low jamming success rates and poor flexibility, making it difficult to meet the demands of defense and confrontation. To address these issues, this paper proposes a jamming method for UAV communication and navigation signals. Based on the YunSDR-Y550 software-defined radio platform, we developed the UAV_ATK upper computer interface software to communicate in real-time with the hardware platform, adjusting power, frequency bands, and bandwidth. We generate three modes of signal disruption—broadband jamming, comb jamming, and frequency sweeping jamming—to disrupt the UAV's telemetry link. We also disrupt the UAV's navigation link by jamming GPS and BDS navigation signals. By mimicking real GPS signals and generating false navigation messages, we gradually lead the receiver tracking loop to lock onto the deceptive signal, achieving intrusive deception of the UAV. Experimental results validate the effectiveness and correctness of the proposed method.
Authors
- Chengkai Tang (ORCID: https://orcid.org/0000-0002-9008-0061)
- Zesheng Dan (ORCID: https://orcid.org/0000-0003-3736-5639)
- Zhe Yue (ORCID: https://orcid.org/0000-0002-1626-5228)
- Lingling Zhang (ORCID: https://orcid.org/0000-0002-9834-7410)
- Yangyang Liu (ORCID: https://orcid.org/0000-0001-5118-4901)
- Jiawei Ding (ORCID: https://orcid.org/0000-0001-7417-7085)
Institutions
- Northwestern Polytechnical University (CN)
- Henan Polytechnic University (CN)
Publication Details
- Published
- 2024-08-19
- DOI
- https://doi.org/10.1109/icspcc62635.2024.10770465
- Primary Topic
- Guidance and Control Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China