On the Detection of Unauthorized Drones - Techniques and Future Perspectives: A Review

  • Muhammad Asif Khan*
  • , Hamid Menouar
  • , Aisha Eldeeb
  • , Adnan Abu-Dayya
  • , Flora D. Salim
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

134 Citations (Scopus)

Abstract

The market size of civilian drones is tremendously increasing and is expected to reach 1.66 million by the end of 2023. The increase in number of civilian drones poses several privacy and security threats. To safeguard critical assets and infrastructure and to protect privacy of people from the illegitimate uses of commercial drones, a drone detection system is inevitable. In particular, there is a need for a drone detection system that is efficient, accurate, robust, cost-effective and scalable. Recognizing the importance of the problem, several drone detection approaches have been proposed over time. However, none of these provides sufficient performance due to the inherited limitations of the underlying detection technology. More specifically, there are trade-offs among various performance metrics e.g., accuracy, detection range, and robustness against environmental conditions etc. This motivates an in-depth study and critical analysis of the existing approaches, highlighting their potential benefits and limitations. In this paper, we provide a rigorous overview of the existing drone detection techniques and a critical review of the state-of-the-art. Based on the review, we provide key insights on the future drone detection systems. We believe these insights will provide researchers and practicing engineers a holistic view to understand the broader context of the drone detection problem.

Original languageEnglish
Pages (from-to)11439-11455
Number of pages17
JournalIEEE Sensors Journal
Volume22
Issue number12
DOIs
Publication statusPublished - 15 Jun 2022
Externally publishedYes

Keywords

  • Autonomous aerial vehicles
  • Drone detection
  • Drones
  • Privacy
  • Radar
  • Radio
  • Security
  • Sensor phenomena and characterization
  • Sensors
  • Unmanned aerial vehicles
  • Visual
  • Wireless communication
  • Wireless sensor networks

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