Estimation Method Of Micro-Doppler Parameters Based On Concentration Of Time-Frequency Rotation Domain

The micro-Doppler modulation of the radar echo of the drone's rotor reflects the micro-movement characteristics of the target. Accurate estimation of the length and rotation frequency of an unmanned aerial vehicle (UAV) rotor is of great significance for target identification and classification in radar echoes. Firstly, this paper proposes a method of optimal estimation based on concentration of time-frequency rotation domain (CTFRD), in the time-frequency rotation domain of a multi-component micro-Doppler signal, under the FMCW radar system. Secondly, in the scene where the drone rotor rotates at a constant speed or at a uniform acceleration, the proposed method realizes the accurate estimation for multi-component micro-motion feature parameters. Compared to traditional methods, it is also very robust in low signal-to-noise ratio (SNR) environments. Finally, the effectiveness of the proposed method is verified by simulations and real-world scenarios.