Authors: Wahab Khawaja, Martins Ezuma, Vasilii Semkin, Fatih Erden, Ozgur Ozdemir, Ismail Guvenc

Published on: February 08, 2024

Impact Score: 8.12

Arxiv code: Arxiv:2402.05909

Summary

• What is new: This survey specifically addresses the use of RF-based systems for detecting, classifying, and tracking unmanned aerial vehicles (UAVs), and marks a comprehensive evaluation of these systems alongside proposing future directions based on learned lessons.
• Why this is important: The increasing use of UAVs for a variety of purposes poses a challenge for the safety and surveillance of national airspace, especially given their potential for malicious use.
• What the research proposes: The survey evaluates three RF-based systems (radars, communication systems, and RF analyzers) for their effectiveness in the detection, classification, and tracking of UAVs, also discussing their limitations and briefly touching on non-RF systems.
• Results: The evaluation identifies the strengths and weaknesses of each RF-based system in UAV detection and suggests improvements and future research directions.

Technical Details

Technological frameworks used: nan

Models used: Conventional and modern radar systems, joint communications and sensing (JCS) for communication systems, and RF analyzers

Data used: nan

Potential Impact

Aerospace and defense industries, commercial UAV manufacturers, and national security agencies could be disrupted or benefit from the insights in this paper.

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