Team Members: Tomer Hacohen, Eitan Ben Elisha

Supervisors / Mentors: Dr. Shimon Mizrahi

 

Drones are emerging as a growing security threat in both civilian and military domains. Existing counter-drone solutions - such as kinetic interception and communication jamming - are becoming increasingly inadequate against advanced drone capabilities, including autonomy, drone swarms, and fiber-guided control.

Based on previous studies, flight controller (FC) boards have susceptible frequency ranges. Transmitting within these ranges can cause bit flips and disrupt the digital communication between the FC and the inertial measurement unit (IMU) - which houses the stabilization sensors such as gyroscopes and accelerometers - thereby disabling the drone’s stabilization system. We simulate and test interference methods that require significantly less transmission power than in previous studies, by modulating our signal (to reduce average power) and using a suitable antenna (to reduce peak power).

Our project includes CST simulations and laboratory measurements for the antennas (S-parameters, gain, polarization), Python and PX4 simulations for signal modulation, and lab\field testing to evaluate the impact of our approach.