research-article

Radio Frequency-based Techniques of Drone Detection and Classification using Machine Learning

Authors:

Mariam M. Alaboudi,

Manar Abu Talib,

Qassim NasirAuthors Info & Claims

ICRAI '20: Proceedings of the 6th International Conference on Robotics and Artificial Intelligence

Pages 278 - 282

https://doi.org/10.1145/3449301.3449348

Published: 09 June 2021 Publication History

Abstract

This research paper provides a comprehensive survey review on drone detection using Radio Frequency (RF)-based techniques along with machine learning and localization algorithms. RF signals proved its effectiveness in detecting drones, however, due to the lack of a published survey, this research paper reviews the newly emerged RF-based techniques by addressing the implemented methods and discussing the results obtained in terms of the testing environment, range of detection and accuracy of the system. In this survey review, thirty conference and journal papers have been collected, however only selected papers have been discussed depending on the contribution and limited space of the paper. Finally, this survey also discusses the challenges encountered in drone detection using RF due to its great impact on the efficiency of the system.

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Cited By

Swinney CWoods J(2022)A Review of Security Incidents and Defence Techniques Relating to the Malicious Use of Small Unmanned Aerial SystemsIEEE Aerospace and Electronic Systems Magazine10.1109/MAES.2022.315130837:5(14-28)Online publication date: 1-May-2022
https://doi.org/10.1109/MAES.2022.3151308

Index Terms

Radio Frequency-based Techniques of Drone Detection and Classification using Machine Learning
1. Computer systems organization
  1. Embedded and cyber-physical systems
2. Computing methodologies

Index terms have been assigned to the content through auto-classification.

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ICRAI '20: Proceedings of the 6th International Conference on Robotics and Artificial Intelligence

November 2020

288 pages

ISBN:9781450388597

DOI:10.1145/3449301

Copyright © 2020 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 09 June 2021

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ICRAI 2020

ICRAI 2020: 2020 6th International Conference on Robotics and Artificial Intelligence

November 20 - 22, 2020

Singapore, Singapore

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Cited By

Swinney CWoods J(2022)A Review of Security Incidents and Defence Techniques Relating to the Malicious Use of Small Unmanned Aerial SystemsIEEE Aerospace and Electronic Systems Magazine10.1109/MAES.2022.315130837:5(14-28)Online publication date: 1-May-2022
https://doi.org/10.1109/MAES.2022.3151308

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