Modeling and Simulation of Urban Laser Countermeasures Against Low-Slow-Small UAVs

This study addresses the modeling and simulation challenges of urban laser countermeasure systems against Low-Slow-Small (LSS) UAVs by proposing a physics simulation framework integrating Geographic Information System (GIS)-based dynamic 3D real-world scenes and constructing a hybrid Anti-UAV dataset combining real and simulated data. A three-stage target tracking system is developed, encompassing target acquisition, coarse tracking, and precise tracking. Furthermore, the UAV-D-Fine detection algorithm is introduced, significantly improving small-target detection accuracy and efficiency. The simulation platform achieves dynamic fusion between target models and GIS real-scene models, enabling a full physical simulation of UAV takeoff, tracking, aiming, and laser engagement, with additional validation of laser antenna tracking performance. Experimental results demonstrate the superior performance of the proposed algorithm in both simulated and real-world environments, ensuring accurate UAV detection and sustained tracking, thereby providing robust support for low-altitude UAV laser countermeasure missions.

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Publication Details

Journal
Drones
Published
2025-06-08
DOI
https://doi.org/10.3390/drones9060419
Citations
1
Primary Topic
Advanced Optical Sensing Technologies
Type
article
Field-Weighted Citation Impact
1.19
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article

Modeling and Simulation of Urban Laser Countermeasures Against Low-Slow-Small UAVs

Hangning Kou, Zixun Ye, Guohao Li, You Jiang et al.
1 citations
Drones
Advanced Optical Sensing Technologies
1.19
article

Modeling and Simulation of Urban Laser Countermeasures Against Low-Slow-Small UAVs

Hangning Kou, Zixun Ye, Guohao Li, You Jiang, Jingliang Gu
article en
1 citations

Abstract

This study addresses the modeling and simulation challenges of urban laser countermeasure systems against Low-Slow-Small (LSS) UAVs by proposing a physics simulation framework integrating Geographic Information System (GIS)-based dynamic 3D real-world scenes and constructing a hybrid Anti-UAV dataset combining real and simulated data. A three-stage target tracking system is developed, encompassing target acquisition, coarse tracking, and precise tracking. Furthermore, the UAV-D-Fine detection algorithm is introduced, significantly improving small-target detection accuracy and efficiency. The simulation platform achieves dynamic fusion between target models and GIS real-scene models, enabling a full physical simulation of UAV takeoff, tracking, aiming, and laser engagement, with additional validation of laser antenna tracking performance. Experimental results demonstrate the superior performance of the proposed algorithm in both simulated and real-world environments, ensuring accurate UAV detection and sustained tracking, thereby providing robust support for low-altitude UAV laser countermeasure missions.

DronesVol. 9(6)
China Academy of Engineering Physics (CN)
Openalex Percentile: Top 20%
Advanced Optical Sensing Technologies
1.19
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Modeling and Simulation of Urban Laser Countermeasures Against Low-Slow-Small UAVs — Hangning Kou, Zixun Ye, et al. · Drones (2025) | TGRS Research Map | TGRS