Multi-rotor UAV's micro-motion representation and parameter estimation of aircraft rotor

Aiming at the problems of difficult characterization of rotor micro-Doppler features and poor extraction accuracy of rotor motion parameters in the motion state of multi-rotor UAVs, this paper proposes a rotor rotational speed extraction algorithm based on the combination of cadence-velocity diagram (CVD) and cadence-frequency spectrum (CFS) features. Through the time-frequency analysis of the radar cross section (RCS) of the UAV target and the extraction of micromotion features, we carry out the general description of the Doppler frequency cycle characteristic law of the UAV target to realize the accurate extraction of the rotor parameters of the UAV. The simulation measurement data show that the accuracy of the algorithm in this paper is better than 97% for the estimation of rotor motion parameters, and the method can provide a basis for the estimation of rotor parameters and target identification in the actual flight mission.