Fixed Drone Detector With Full-Band Coverage And Direction Finding Accuracy Of ≤3°
Introduction
This cutting-edge system integrates cognitive radio deep learning and multi-spectral signal decomposition technologies, achieving unprecedented accuracy in detecting and classifying threats for unmanned aerial vehicles (UAVs). Leveraging a quantum-enhanced software-defined radio (SDR) platform, it can dynamically decode encrypted UAV communications (such as AES-256-CBC, RSA-2048), while adapting to frequency hopping spread spectrum (FHSS) modes ranging from 500 to 1200 Hz/s, and realizing this functionality within the 70 MHz - 6 GHz frequency band. The neural morphological protocol simulator of this system reconstructs the UAV control logic through a three-dimensional convolutional attention network, enabling real-time identification of stealth UAVs under -130 dBm signal-to-noise ratio conditions using custom firmware or deceptive remote identification signals.AI-driven protocol cracking engine:Employing a spatio-temporal transformation model, it correlates radio frequency anomalies (carrier frequency offset, phase noise) at the physical layer with protocol deviations at the network layer. This hybrid approach can detect protocol camouflage techniques such as UAV mimicking WiFi beacons or Bluetooth Low Energy data packets within a 3-kilometer range with 99.2% accuracy.Combining FPGA-accelerated cryptanalysis (through pre-computed rainbow tables for brute-forcing 128-bit keys within <8 milliseconds) and spectral tomography technology to map signal propagation paths. Through trilateration of multipath reflections to reveal the operator's position, achieving a geographical positioning accuracy of ±1.5 meters in urban environments.
Parameters
Function |
Descriptions |
Drone detection |
• Detection spectrum bandwidth: 70 MHZ - 6GHZ, detection focus on the 433Mhz, 868Mhz, 915Mhz, 2.4Ghz, 5.2Ghz, 5.8Ghz • FPV Detection:300Mhz-6.2Ghz Analog Signal of FPV Drones • Simultaneous screening number of UAV: ≧150pcs • The lowest detection height: ≤0 meters • Detection rate: ≧99.99 %s |
Drones Location |
For UAVs with Remote ID (China GB42590-2023, US ASTM F3411-22a, EU ASD-STAN PrEN4709-002) and Drone ID (such as DJI Mavic2, Mavic3, air3s, Matrice4, etc., some require network decryption), it can parse detailed information such as drone location and pilot location. |
White and Blacklist |
• The Systemcan identify ≧ 400 different model UAV including DJI series drones,and it has the autonomous learning ability. • The Systemcan carry on the accurate identification of target, in-depth analysis of UAV signal, the identification of unique ID, and the black and whitelist to distinguish. • Whitelist and a blacklist can be set for different targets of the same position, same frequency band, same manufacturer, same type of UAV respectively. |
Defensive Interference |
PS The Systemhas interference capabilities of 900MHz, 433Mhz; 1.5ghz, 2.4ghz, 5.8ghz; 5.2Ghz and other customized frequency bands, and covers most of the UAV communication available in market. |
Remote OAM |
After turning on the fully self-movable defense, it can enter unattended mode, detect, and strike autonomously. And a variety of OAM features are available when used with the remote server, including firmware updating, resetting, status inquiry, self-testing, parameter configuration, and more. |
GPS |
The Systemcan detect its current position using its built-in GPS. |
Networking |
The Systemcan network multiple devices through the cloud server, observe the online/abnormal status of each device, and control the device remotely through the mobile terminal (mobile phone IPAD), including but not limited to viewing the operating interface of the device system, receiving alarm information, viewing the black and whitelist, and turning on defense functions. |
Data security |
Use certificate management and data encryption between the equipment and server to ensure data reliability and security. |
System Initialization
As shown in the figure, we adopt the fixed unmanned aerial vehicle detector with advanced cognitive radio protocol cracking technology to achieve more precise identification functions.