Single and multiple drones detection and identification using RF based deep learning algorithm

作者：

Highlights：

• Deep learning algorithm for identification of type and flight mode of detected drones.

• Novel deep learning algorithm for detection of multiple drones in radio frequency domain.

• Results of three indoor experiments concerning collecting and analyzing radio signals from drones.

• Public available database with radio signals of drones from two different radio frequency bands.

摘要

•Deep learning algorithm for identification of type and flight mode of detected drones.•Novel deep learning algorithm for detection of multiple drones in radio frequency domain.•Results of three indoor experiments concerning collecting and analyzing radio signals from drones.•Public available database with radio signals of drones from two different radio frequency bands.

论文关键词：Anti-drone system,Classification,Deep learning algorithms,Detection,Drone,Multiple drones

论文评审过程：Received 27 December 2020, Revised 4 July 2021, Accepted 16 September 2021, Available online 23 September 2021, Version of Record 29 September 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115928