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
Function |
Description |
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UAV detection |
Detection spectrum bandwidth |
70 MHZ - 6GHZ |
detection focus on the 433Mhz/ 900Mhz/2.4Ghz/5.2Ghz/5.8Ghz |
Simultaneous screening number of UAV |
≧150pcs |
can be customize with 1Ghz -1.4Ghz & 5.1Ghz - 5.9Ghz FPV Bands |
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The lowest detection height |
≦0 meters |
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Detection rate |
≧99.99 % |
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White and Blacklist |
Number of identifiable models |
≧ 400 |
including DJI series drones,and it has the autonomous learning ability |
the accurate identification of target |
Available |
for different targets of the same position, same frequency band, same manufacturer, same type of UAV respectively. |
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in-depth analysis of UAV signal |
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the identification of unique ID |
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the black and whitelist to distinguish |
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Defensive Interference |
Interferable frequency bands |
900MHz, 433Mhz, 1.5ghz, 2.4ghz, 5.8ghz, 5.2Ghz |
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other customized frequency bands |
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Remote OAM |
Unattended Mode |
Automatic detection and strike |
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A variety of OAM features |
Firmware updating |
used with the remote server |
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Reset, status inquiry |
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Self-testing |
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Parameter configuration |
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Networking |
Multi-device networking |
observe the online/abnormal status of each device |
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Remote control through mobile terminals |
viewing the operating interface of the device system |
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receiving alarm information |
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viewing the black and whitelist |
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turning on defense function |
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Data security |
High reliability and security |
certificate management and data encryption |
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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.