UAV swarm operations are gradually becoming a mainstream mode of air combat in the future,which poses severe threats and challenges to air defense operations.The reasonable deployment of air defense weapons in advance has a direct impact on the overall performance of operations against UAV swarm.From the perspective of the two sides in air defense operations,this paper comprehensively analyzes the autonomous intelligence of UAV swarm and the main factors affecting air defense deployment.Besides,the confrontation process between UAV swarm and air defense weapons is quantified,and an air defense deployment model based on nested Particle Swarm Optimization (PSO) algorithm is proposed.The simulation example verifies that the model taking the UAV swarm threat index as indicators can be used for optimizing the deployment of air defense weapons,and has high reference value for the researches on decision-making of combat against UAV swarm.