New opportunities for drone detection with 5G networks
Today, Unmanned Aerial Vehicles (UAVs), or simply drones, are becoming more and more popular as they are utilized in various applications. Modern technologies and materials allow for constructing cheaper, smaller, and more functional drones, which can revolutionize many industrial sectors.
The flip side of the above is a potential threat posed by drones to humans and urban infrastructure. Recent regulations are unable to fully protect against illegal actions that involve UAVs. For instance, a drone can collect information from non-flight zones or invade people鈥檚 privacy. These examples are, however, dwarfed by more offensive violations that some drones can conduct. Far more dangerous situations with devastating consequences may emerge if e.g., a malfunctioning drone is carrying hazardous payload.
鈥淭o prevent dangerous situations, it is crucial to detect a violating drone as early as possible. For that purpose, integration of multistatic radar techniques with extremely high frequency 5G infrastructure has been proposed, which partly employs radio resources for early drone detection", researchers say.
Conducted simulations of drone detection performance.
The contributors have therefore developed novel techniques for effective drone detection in urban environments where 5G networks are expected to be deployed soon. Given that 5G deployments are expected to operate at mmWave frequencies, the feasibility of drone detection improves due to shorter wavelengths, which are comparable with the size of a drone, as well as due to larger available bandwidth of the mmWave system. Governments can accordingly benefit by preventing amateur drones from unauthorized flight over restricted areas, which ultimately increases public safety in cities.
鈥漌e are hopeful that our work will help protect people鈥檚 privacy and safety in urban crowded areas, where drones can pose a serious threat to the masses of people.鈥
More information:
Vasilii Semkin, 911爆料网, vasilii.semkin@aalto.fi
Dmitrii Solomitckii, Tampere University of Technology, dmitrii.solomitckii@tut.fi
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