Optimized Radio Frequency Footprint Identification Based on UAV Telemetry Radios

• Published in: Sensors (Basel, Switzerland) Vol. 24; no. 16; p. 5099
• Main Authors: Tian, Yuan, Wen, Hong, Zhou, Jiaxin, Duan, Zhiqiang, Li, Tao
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 06.08.2024; MDPI
• Subjects: Accuracy; Algorithms; Artificial intelligence; Classification; Communication; convolutional neural network; Identification systems; Machine learning; Performance evaluation; Radio frequency; Receivers & amplifiers; RF fingerprinting; self-organizing map; Software; Sound; Telemetry; telemetry radios; UAV identification; UAV identification; telemetry radios; self-organizing map; RF fingerprinting; convolutional neural network

With the widespread use of unmanned aerial vehicles (UAVs), the detection and identification of UAVs is a vital security issue for the safety of airspace and ground facilities in the no-fly zone. Telemetry radios are important wireless communication devices for UAVs, especially in UAVs beyond the vi...