UAV Detector Using Frequency Spectrum Monitoring Technology With Data Logging Support
Introduction
Our state-of-the-art Unmanned Aerial Vehicle (UAV) detection system offers unparalleled security by monitoring the frequency spectrum across a wide range from 70MHz to 6GHz. Employing advanced Fast Fourier Transform (FFT) and Statistical Fingerprint Analysis (SFA), it effectively filters out background noise, allowing for highly accurate identification of UAV control signals with an impressively low false alarm rate. Utilizing Spectrum Accumulation (SA) methods, the system continuously captures and stores signal characteristics, including frequency, power, and timestamps, in a vast 1TB database. This not only enables detailed post-incident investigations but also ensures compliance with regulatory requirements. Equipped with a TDOA-AOA hybrid localization system, our solution can precisely track UAVs, achieving an accuracy of within 40 meters even in complex, multi-signal environments. Unauthorized UAVs are detected and trigger immediate alerts in real-time, with notifications sent within just 3 seconds of identification. A whitelist feature is integrated to protect authorized devices from interference, ensuring seamless operation. For applications requiring extended coverage, the system utilizes a combination of cellular networks and UAV mesh networking for data transmission. This setup guarantees reliable data relay to ground control stations, regardless of location. Built with rugged hardware and enhanced by adaptive machine learning algorithms, our UAV detection system provides robust performance, making it an ideal choice for safeguarding critical infrastructure such as airports.
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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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 |
Interface Showcase