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Unmanned Aerial Vehicles (UAVs) are increasingly used in research and by the public. Though this technology has many advantages and will change industries, it also brings new challenges. They can easily overcome existing infrastructural barriers and be a potential harm to society. So, to prevent the threat of drones several governments and research organisations are developing Anti-drone systems. Anti-drone systems detect and/or intercept unwanted drones and UAVs.
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For detecting a drone we can use different methods like Rader, Visual conformation, Acoustic processing, RF signal analysis, Thermo vision system. After analysing pros and cons of different systems I came with a conclusion that using Micro Doppler Rader is the most efficient way. As the name says Doppler Rader totally depends on Doppler effect. Doppler effect refers to the change in wave frequency during the relative radial motion between a wave source and it's observer. A micro Doppler Rader can successfully distinguish between rotations and vibrations.
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RF jammers: A drone generally uses radio frequency to communicate with the operator. We can either either analyse the RF signal and send some garbage instructions to drone, by doing this drones goes in to confusion and stops working or we can just transmit a large amount of RF energy towards a drone which jam or interface the wireless communication.
GPS spoofers: This device send a new signal to the drone, replacing the communication with GPS satellites it uses for navigation. In this way, the drone is spoofed into thinking it is somewhere else.
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CURATOR'S NOTE
Now a days even drugs and explosives are exchanged through borders using drones so to prevent these problems Anti-drone systems are important
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