Simulation of compressed sensing based passive radar for drone detection

Nowadays drones and RC planes come more and more popular since they are widely available. People enjoy filming from drones even in drone strictly forbidden places ignoring prohibition signs. That often makes problems for specialists working in an environment with demanded radio emission free zone. To avoid drones from flying in prohibited areas a drone radar is needed. This paper represents feasibility study on passive radar for drone detection using novel signal processing technique and Monte Carlo method. Radar simulation was made to study impact of different factors on the drone detection quality simulating different antennas setups: regular and irregular placement of the antennas, similar and different directivity antennas, stationary and randomly pointed antennas. Results show the impact of different drone quantity, antennas directivity, antennas placement, antennas rotation on the drone detection quality.