Simulation and Deduction Method for UAVs Swarm in Air-to-ground Attack Scenarios

In the scenario of breaking through ground air defense systems using the coordinated operation of UAV swarm in attack-defense confrontations, the interaction between UAV swarm and ground defensive forces is highly complex. This demands advanced pre-research and imposes higher requirements on simulation and deduction methods. This paper focuses on improving the UAV swarm ground attack operational simulation system, constructing high-fidelity simulation models for both opposing sides, and designing AI-driven behavior trees to control the behavior logic of both parties. Additionally, an operational effectiveness evaluation system with damage assessment is established for systematic analysis of simulation results. By designing various offensive tactics for UAV swarms and conducting simulation exercises, and iterating on the tactics based on evaluation results, the feasibility of the proposed simulation and deduction method is validated. This provides an effective approach for researching the tactical simulations of UAV swarm autonomous ground attack operations.