STONewsArchive: RF Finger Printing of Drones
Title:
RF Finger Printing of Drones
Start_Publishing:
24/08/2021
Panel_Page:
IST
Page_ID:
3836
Main_Body_Multi:
IST-ET-120 Exploratory Team
As the drones are becoming cheaper, smaller, and being equipped with SoA sensors, UAVs (Unmanned aerial vehicles) are imposing alarming threats to the military installations, the national security and private sectors. An RF-based detection and tracking system are independent of the RCS (radar cross-section) of a UAV, daylight or weather condition, and is capable to detect and track a drone from several kilometers away. IST-ET-120 will evaluate the significance of a drone RF database, identify the promising RF detection, classification and localization techniques based on spectral information (including AI-based approaches), as well as jamming techniques for soft neutralization. It also aims to define test scenarios for drone detection, classification and localization in diverse environments (e.g. rural, urban and industrial environments).
Page_Intro:
As the drones are becoming cheaper, smaller, and being equipped with SoA sensors, UAVs (Unmanned aerial vehicles) are imposing alarming threats to the military installations, the national security and private sectors. An RF-based detection and tracking system are independent of the RCS (radar cross-section) of a UAV, daylight or weather condition, and is capable to detect and track a drone from several kilometers away. IST-ET-120 will evaluate the significance of a drone RF database, identify the promising RF detection, classification and localization techniques based on spectral information (including AI-based approaches), as well as jamming techniques for soft neutralization. It also aims to define test scenarios for drone detection, classification and localization in diverse environments (e.g. rural, urban and industrial environments).
HomePageImage:
2021-IST-120.jpg
HomePageBodyText:
IST-ET-120 Exploratory Team
As the drones are becoming cheaper, smaller, and being equipped with SoA sensors, UAVs (Unmanned aerial vehicles) are imposing alarming threats to the military installations, the national security and private sectors. An RF-based detection and tracking system are independent of the RCS (radar cross-section) of a UAV, daylight or weather condition, and is capable to detect and track a drone from several kilometers away. IST-ET-120 will evaluate the significance of a drone RF database, identify the promising RF detection, classification and localization techniques based on spectral information (including AI-based approaches), as well as jamming techniques for soft neutralization. It also aims to define test scenarios for drone detection, classification and localization in diverse environments (e.g. rural, urban and industrial environments).
Created at 24/08/2021 10:44 by ad.rodes
Last modified at 24/08/2021 10:44 by ad.rodes
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