Presentation + Paper
1 November 2024 Modelling the complete DTIN killchain: a comparative study of laser and kinetic effectors with RADAR detection against small drones in counter-UAS scenarios
Alexandre Heuchamps, François Harmel, Marijke Vandewal, Alexandre Papy
Author Affiliations +
Abstract
Unmanned Aerial Systems (UAS) and Unmanned Aerial Vehicles (UAV), commonly known as drones, are increasingly being used in both civil and military contexts. The advances in embedded computing power are enabling some UAS to operate fully autonomously, posing significant challenges to existing countermeasures. In response to this evolving threat landscape, Directed Energy Weapon (DEW) technologies, including Hiigh Energy Lasers (HEL), are emerging as promising solutions in the Counter-UAS (C-UAS) domain to complement kinetic means. This is due to their low cost per shot, virtually unlimited ammunition capacity, speed-of-light engagement, high accuracy level, and scalability of on-target effects tailored to the UAS threat level. This study aims to evaluate the effectiveness and performance of HEL technology as a killchain-integrated C-UAS solution in various scenarios, using modelling and simulation, and comparing those to what could be obtained by using kinetic effectors. Such performance is obtained by integrating simplified representations of UAS with parametric HEL and kinetic effector models. This paper contributes to ongoing efforts to improve security measures against the escalating threat of drone proliferation in today’s dynamic and complex environments.
Conference Presentation
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Alexandre Heuchamps, François Harmel, Marijke Vandewal, and Alexandre Papy "Modelling the complete DTIN killchain: a comparative study of laser and kinetic effectors with RADAR detection against small drones in counter-UAS scenarios", Proc. SPIE 13201, High-Power Lasers and Technologies for Optical Countermeasures II, 1320108 (1 November 2024); https://doi.org/10.1117/12.3031432
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KEYWORDS
Radar sensor technology

Radar

Target detection

Modeling

Sensors

Systems modeling

Signal to noise ratio

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