Measurement and modelling of the dynamic radar cross‐section of an unmanned aerial vehicle

Abstract

The optimal radar detection of miniature unmanned aerial vehicles (UAVs) requires that the radar cross-section (RCS) of the UAVs be known. Although RCS estimates may be obtained from computer simulation and conventional static RCS measurements, the results may not be accurate given that the dynamic effects of the UAV, such as propeller motion, are absent. In this study, an X-band tracking radar is developed and used to measure the RCS of a mini-UAV while the UAV is in flight. Statistical methods are then applied to obtain models of the dynamic RCS for each aspect bin and for the UAV as a whole. For the particular quadcopter considered herein, the results indicate that the dynamic RCS is significantly higher than its static RCS. As a result, a target model developed from the dynamic RCS leads to a 15% increase of the 50% probability of detection range compared with a model based on static RCS measurements.