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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Bibliographic Details

Published in:	2018 IEEE International Conference on Communication Systems (ICCS) pp. 157 - 161
Main Authors:	Abeywickrama, Samith, Jayasinghe, Lahiru, Fu, Hua, Nissanka, Subashini, Yuen, Chau
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.12.2018
Subjects:	Antenna arrays Antenna measurements Antenna radiation patterns Autonomous aerial vehicles Calibration direction finding Directional antennas Drone surveillance Drones Power measurement Surveillance Synchronization UAV tracking
Online Access:	Get full text
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