Security and Anti-Jamming Techniques in Drone (UAV) Wireless Communications
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2026
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Abstract
This thesis studies protection techniques for UAV communications against jamming and impulsive noise. UAVs use radio links to transmit control commands, telemetry and mission data. These links are essential for flight safety, but they can be affected by interference, intentional jamming, interception, spoofing and electromagnetic impulsive noise. The work first presents a bibliographic study of UAV communications, including wireless technologies such as Wi-Fi, LTE, 5G and OFDM, as well as the main radio security threats. Then, a theoretical study compares several anti-jamming methods, including DSSS, FHSS, hybrid techniques, adaptive control, beamforming, coding, diversity and CV-VSS-NLMS adaptive filtering. Finally, an experimental study is carried out to analyze DSSS, FHSS and CV-VSS-NLMS. The results show that BER decreases when Eb/N0 increases. At 20 dB, the BER reaches 0.001 for DSSS and 0.003 for FHSS. The MSE of the CV-VSS-NLMS filter also decreases from 0.25 to 0.005. These results show that the three techniques are complementary and can improve the robustness of UAV communication links.