Drone Detector With Multi-Sensor Fusion Combining Drone Spoofing Device
Drone Detector With Multi-Sensor Fusion Combining Drone Spoofing Device
Introduction
This integrated system employs AI-driven multi-sensor fusion to detect, track, and neutralize unauthorized drones through real-time spoofing protocols. By combining pulsed Doppler radar , wideband RF spectrum analysis (70MHz–6GHz) , it achieves 360° detection coverage with 0.8-meter positional accuracy at 8km range. The core innovation lies in its adaptive sensor fusion engine , which leverages spiking neural networks (SNNs) to synchronize radar cross-section data, RF signal fingerprints (e.g., DJI OcuSync protocols), and event-based camera inputs, reducing false positives from birds or environmental clutter by 99.1%.The spoofing subsystem implements cognitive GPS/GLONASS signal emulation , generating adversarial navigation coordinates that override drone autopilot systems while complying with aviation regulations. A dynamic waveform synthesizer simultaneously disrupts 2.4GHz/5.8GHz control links and 1.5GHz GNSS receivers, forcing unauthorized UAVs into controlled descent or return-to-home modes. Proprietary time-synchronized jamming algorithms analyze drone firmware vulnerabilities through live protocol reverse-engineering, enabling sub-500ms response from detection to spoofing activation.Key advancements include a neuromorphic edge computing architecture that processes 15TB/hour of sensor data via FPGA-accelerated SNNs, enabling real-time fusion of millimeter-wave radar signatures with RF spectral patterns. The system autonomously updates its threat database using generative adversarial networks (GANs) to simulate emerging drone models and anti-detection tactics. Field-tested in urban environments, it maintains 98.7% spoofing success rate against swarm attacks while preserving legitimate drone operations through blockchain-verified Remote ID authentication.
Basic
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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 |
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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 |
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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, one can clearly see all the sensors included in the current detection equipment, and the perfectly constructed fraud device it contains.
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