Securing Your Airspace: Detection of Drones Trespassing Protected Areas is a work by Alireza Famili, Angelos Stavrou, Haining Wang, Jung-Min (Jerry) Park, and Ryan Gerdes.

Unmanned Aerial Vehicle (UAV) deployment has surged in recent years, finding applications ranging from critical safety-of-life scenarios to entertainment and hobbies. However, with the popularity of drones comes an increased concern for intentional and unintentional security threats. This underscores the urgent need for real-time, accurate detection and classification of drones.

This article overviews various drone detection approaches, highlighting their benefits and limitations. It examines detection techniques utilizing radars, acoustic and optical sensors, and emitted radio frequency (RF) signals. The analysis compares performance, accuracy, and cost across different operating conditions. The conclusion suggests that multi-sensor detection systems demonstrate more compelling results, although further research is warranted.

Publication Date– March 2024

Securing Your Airspace: Detection of Drones Trespassing Protected Areas contains the following major sections:

  • Introduction
  • Radars
  • Acoustic Sensors
  • RF Ground Communication Sensors
  • Optical Sensors
  • Multi-Sensor Approach
  • Discussion
  • Conclusions & Future Work Discussion

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