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Erschienen in:
2021 | OriginalPaper | Buchkapitel
SVDec: UAV Detection System Using Software-Defined Radio
verfasst von : Yi Li, Wei Nie, Wei He, Mu Zhou
Erschienen in: Communications, Signal Processing, and Systems
Verlag: Springer Singapore
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Abstract
In recent years, with the increasing popularity of drones, some non-standard operations have caused many safety problems, and this phenomenon has become increasingly serious. In order to solve these safety problems, the existence of unmanned aerial vehicle detection systems is critical. Since many monitoring systems are costly, low-cost detection systems are particularly important. This paper designs a system that can detect drones by using the signal characteristics of the drones as detection standards. The system first uses software-defined radio (SDR) to monitor and collect wireless signals and then extracts the movement and vibration characteristics of the drone and finally classifies the signal through the joint features of the classifier, which can effectively distinguish the drone signal from other movements. The system has a high accuracy for UAV detection.