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Design and comparative analysis of laser-based array systems for UAV detection in surveillance zones
Meriem Salhi1, Maha Sliti1, Noureddine Boudriga2
1University of Carthage, Higher School of Communication of Tunis (SUP'COM), LR11TIC04, Communication Networks and Security Research Lab. & LR11TIC02, Green and Smart Communication Systems Research Lab, Ariana, Tunisia.
This study introduces two novel Light Detection and Ranging (LiDAR) systems for detecting unmanned aerial vehicles (UAVs). Both systems offer effective UAV identification, with static LiDAR providing continuous coverage and rotating LiDAR offering a compact, energy-efficient solution.
Area of Science:
- Engineering
- Sensor Technology
- Defense Systems
Background:
- Unmanned aerial vehicles (UAVs) pose security risks to critical infrastructure.
- Existing detection methods include radar, acoustic, RF, LiDAR, and camera-based techniques.
- Light Detection and Ranging (LiDAR) offers high-resolution 3D mapping and precise distance measurement for UAV detection.
Purpose of the Study:
- To present and evaluate two innovative LiDAR systems for UAV detection.
- To compare the practicability and efficiency of a multi-array static LiDAR and a one-array rotating LiDAR system.
- To assess the effectiveness of these systems in identifying potential UAV threats under various conditions.
Main Methods:
- Development of a multi-array static LiDAR system with spherical arrangement of laser sources and concentrators.
- Development of a one-array rotating LiDAR system utilizing rotational scanning.
- Comprehensive analysis of design characteristics, including monitored region dimensions, sensor properties, component arrangement, and interspacing.
Main Results:
- The multi-array static LiDAR system is designed for continuous, high-resolution coverage with minimal delay, suitable for wide-area monitoring.
- The one-array rotating LiDAR system is designed for compactness and energy efficiency, ideal for cost-sensitive applications.
- Evaluation of trade-offs, including mechanical wear and scanning latency in the rotating system.
Conclusions:
- Both presented LiDAR systems offer viable solutions for UAV detection.
- The choice between static and rotating LiDAR depends on specific application requirements regarding coverage, speed, and cost.
- Further analysis of design parameters is crucial for optimizing UAV threat identification.

