An estimation method of Unmanned Aerial Vehicle rotor spin frequency based on laser micro-Doppler effect

Accurately estimating the rotor spin frequency of Unmanned Aerial Vehicles (UAVs) is of great significance for UAV detection and identification. However, the existing estimation methods are difficult to accurately estimate the spin frequency in different frequency bands. In this paper, for the laser radar UAV rotor target echo model, a method of estimating the rotor spin frequency of UAV based on a multiple linear regression algorithm is proposed for the first time, which is weight the two existing estimation methods through multiple linear regression algorithm can more accurately estimate the rotor spin frequency of UAV. Experimental results show that the relative error of the estimation method can be reduced from 5.98% and 9.80% to 1.07% after multiple linear regression algorithm processing, which confirms the accuracy of the proposed method, and provides a new method for the micro-Doppler feature extraction of the UAV.