Exploring Radar Micro-Doppler Signatures for Recognition of Drone Types

In this study, we examine the use of micro-Doppler signals produced by different blades (i.e., puller and lifting blades) to aid in radar-based target recognition small drones. We categorize drones into three types based on their blade types: fixed-wing with only blades, multi-rotor hybrid vertical take-off landing (VTOL) both blades. quantify radar signatures using statistical measures, such as signal-to-noise ratio (SNR), signal-to-clutter (SCR), Doppler speed, frequency difference (DFD), magnitude (DMR). Our findings show that all drone were stronger than those Specifically, DFD DMR values pusher below 100 Hz 0.3, respectively, which much smaller 200 0.8 for The weaker more stable study demonstrates potential modulated improving detection identification radar.