Highly integrated anti-UAV swarm photoelectric radar detection and strike system

This system supports advanced cloud-based data analysis capabilities, enabling real-time uploading and processing of UAV swarm flight data. Combined with historical trajectory retrospection, it allows for in-depth analysis of UAV movement patterns and behavior. Users can quickly view flight trajectories for any time period through the cloud platform, conduct risk assessments and threat predictions, thereby improving defense efficiency and the scientific basis of decision-making.

• Radio Detection
• Radar Detection
• Electro-optical Tracking
• Spectrum Blocking
• Navigation Deception
• Multi-source Information Fusion Technology
• Digital Twin Technology
• High-Accuracy Detection and Identification
• Adaptive Algorithm Model
• Intelligent Decision Support System
• Real-time Monitoring and Rapid Response
• Cross-platform Information Sharing

The system possesses real-time situational awareness capabilities for large-scale UAV swarms, simultaneously monitoring and analyzing the flight trajectories and dynamic states of dozens of UAVs. Through multi-source data fusion technology, the system can quickly identify abnormal behavior and predict potential threats in complex environments, providing accurate references for tactical decision-making. This function is particularly suitable for scenarios such as urban air defense, critical infrastructure protection, and border patrol.

The system is equipped with an advanced automatic target classification algorithm, capable of rapid identification based on flight characteristics, radar signal characteristics, and optical imaging characteristics. Combined with a multi-dimensional filtering strategy, it significantly reduces the false alarm rate and improves identification reliability in actual combat environments. Even when facing small low-altitude UAVs or swarms of flying targets, the system maintains high-precision detection and classification capabilities.

After the defense strategy is executed, the system can upload all detection data to the cloud, enabling the archiving and review of historical trajectories. Users can conduct long-term analysis of UAV activity patterns through the cloud, forming a complete data archive to provide data support for subsequent defense strategy optimization. This function, combined with front-end situational awareness and target classification, achieves a closed-loop defense system, improving overall defense effectiveness.