Modeling and Simulation Analysis of Multi-Agent in UAV Swarm Attack and Defense Combat

UAV swarm attack and defense simulation environment was constructed using the AnyLogic simulation platform. Firstly, intelligent models were developed, covering various equipment such as UAVs, surveillance radars, electro-optical detection devices, laser equipment, and high-power microwave weapons, and using state machines to depict their combat behavior. Then, rules for UAV movement, radar detection mechanisms, and mathematical models for the destructive effects of small air defense missiles, lasers, and high-power microwave weapons were established. Finally, through specific simulated attack and defense scenarios, the factors affecting the ability of UAV swarm to penetrate defense were studied. The results of the simulation experiments are valuable for understanding the strategies of UAV swarm attacks and how to defend against UAV attacks on important targets.

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Publication Details

Published
2024-08-29
DOI
https://doi.org/10.1109/icsece61636.2024.10729307
Primary Topic
Military Defense Systems Analysis
Type
article
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article

Modeling and Simulation Analysis of Multi-Agent in UAV Swarm Attack and Defense Combat

Wangxu Li, Chengjun Xu, Junqian Li
Military Defense Systems Analysis
article

Modeling and Simulation Analysis of Multi-Agent in UAV Swarm Attack and Defense Combat

Wangxu Li, Chengjun Xu, Junqian Li
article en

Abstract

UAV swarm attack and defense simulation environment was constructed using the AnyLogic simulation platform. Firstly, intelligent models were developed, covering various equipment such as UAVs, surveillance radars, electro-optical detection devices, laser equipment, and high-power microwave weapons, and using state machines to depict their combat behavior. Then, rules for UAV movement, radar detection mechanisms, and mathematical models for the destructive effects of small air defense missiles, lasers, and high-power microwave weapons were established. Finally, through specific simulated attack and defense scenarios, the factors affecting the ability of UAV swarm to penetrate defense were studied. The results of the simulation experiments are valuable for understanding the strategies of UAV swarm attacks and how to defend against UAV attacks on important targets.

Second Artillery General Hospital of Chinese People's Liberation Army (CN)
Openalex Percentile: Top 70%
Military Defense Systems Analysis
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