RF-based Direction Finding of UAVs Using DNN

This paper presents a sparse denoising autoencoder (SDAE)-based deep neural network (DNN) for the direction finding (DF) of small unmanned aerial vehicles (UAVs). It is motivated by the practical challenges associated with classical DF algorithms such as MUSIC and ESPRIT. The proposed DF scheme is p...

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Veröffentlicht in:	2018 IEEE International Conference on Communication Systems (ICCS) S. 157 - 161
Hauptverfasser:	Abeywickrama, Samith, Jayasinghe, Lahiru, Fu, Hua, Nissanka, Subashini, Yuen, Chau
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.12.2018
Schlagworte:	Antenna arrays Antenna measurements Antenna radiation patterns Autonomous aerial vehicles Calibration direction finding Directional antennas Drone surveillance Drones Power measurement Surveillance Synchronization UAV tracking
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