Drone Detector With Multi-Sensor Fusion Combining Drone Jammer Device

Introduction

This advanced system integrates ​​multi-sensor fusion technology with adaptive jamming capabilities​​ to detect, track, and neutralize unauthorized drones across diverse environments 369. Leveraging ​​RF spectrum analysis (70MHz–6GHz), acoustic arrays , micro-Doppler radar , and optical sensors , it achieves 360° coverage with ≤1.2° directional accuracy for drone identification within a 5km detection range13. The AI-driven platform employs convolutional neural networks (CNNs) to correlate spectral fingerprints (e.g., DJI, FPV protocols) with acoustic signatures reducing false alarms from birds or environmental clutter by 98% .Upon detection, the system activates selective jamming targeting drone control (2.4GHz/5.8GHz), GPS/GLONASS navigation, and video transmission frequencies, achieving 3km effective disruption range while preserving authorized communications19. A reinforcement learning module dynamically optimizes jamming power and frequency hopping patterns based on real-time signal-to-noise ratios, ensuring compliance with aviation regulations during countermeasure operations.Key innovations include:Cross-sensor calibration: Synchronizes data streams from distributed nodes (fixed, mobile, vehicle-mounted) to triangulate drone positions and pilot locations with <10m accuracy.Cognitive jamming protocols​​: Uses GAN-generated adversarial signals​​ to exploit vulnerabilities in drone firmware, forcing emergency landing or return-to-home activation without collateral interference.Edge computing architecture​​: Processes 12TB/day of sensor data locally via FPGA-accelerated algorithms, enabling sub-3-second response from detection to jamming activation.Field-tested in urban and remote environments, the system supports multi-zone defense strategies​​—passive monitoring in 5-15km perimeter zones and active countermeasures in 0-5km critical areas. Its modular design allows integration with existing airspace management systems, providing forensic logging of drone MAC addresses, flight paths, and operator geolocation for regulatory enforcement.

Parameters

Interface Showcase

As shown in the figure, the several main sensors currently installed are presented, and there is complete monitoring information available in the system background.