Drone classification from RF fingerprints using deep residual nets

Sanjoy Basak, Sreeraj Rajendran, Sofie Pollin, Bart Scheers

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Detecting UAVs is becoming more crucial for various industries such as airports and nuclear power plants for improving surveillance and security measures. Exploiting radio frequency (RF) based drone control and communication enables a passive way of drone detection for a wide range of environments and even without favourable line of sight (LOS) conditions. In this paper, we evaluate RF based drone classification performance of various state-of-the-art (SoA) models on a new realistic drone RF dataset. With the help of a newly proposed residual Convolutional Neural Network (CNN) model, we show that the drone RF frequency signatures can be used for effective classification. The robustness of the classifier is evaluated in a multipath environment considering varying Doppler frequencies that may be introduced from a flying drone. We also show that the model achieves better generalization capabilities under different wireless channel and drone speed scenarios. Furthermore, the newly proposed model's classification performance is evaluated on a simultaneous multi-drone scenario. The classifier achieves close to 99% classification accuracy for signal-to-noise ratio (SNR) 0 dB and at -10 dB SNR it obtains 5% better classification accuracy compared to the existing framework.

Original languageEnglish
Title of host publication2021 International Conference on COMmunication Systems and NETworkS, COMSNETS 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages548-555
Number of pages8
ISBN (Electronic)9781728191270
DOIs
Publication statusPublished - 5 Jan 2021
Event2021 International Conference on COMmunication Systems and NETworkS, COMSNETS 2021 - Bangalore, India
Duration: 5 Jan 20219 Jan 2021

Publication series

Name2021 International Conference on COMmunication Systems and NETworkS, COMSNETS 2021

Conference

Conference2021 International Conference on COMmunication Systems and NETworkS, COMSNETS 2021
Country/TerritoryIndia
CityBangalore
Period5/01/219/01/21

Keywords

  • Convolutional neural network
  • deep neural networks
  • sensor systems and applications

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