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

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.