Simulation of Micro-Doppler Signatures of Drones

Drones or Unmanned Aerial Vehicles (UAVs) usage has increased considerably over the past years. Drones are being increasingly used for malicious activities in the recent times. So, there is a need for a good Anti Drone System(ADS). Dataset is a big issue if we are using machine learning techniques for drone detection. In this paper we present an approach for emulating drone and drone trajectory characteristics as captured in micro-doppler format. Mostly, work on simulation of micro-doppler signatures has been done for stationary targets, but in this paper, we allow for the target to have translational and rotational velocity. Also, such simulations are available only for quadcopters. We extend the set by creating the simulations for the case hexacopters, tricopters and octacopters We have used MATLAB software for our simulations.