The micro-Doppler effect in radar echo reflects the geometric structure and motion characteristics of the target,which is the unique feature of the target,can be used to judge the target category and attribute.The advantage of wavelength makes liars have better detection accuracy than microwave radar.In order to solve the problem that the micro Doppler modulation energy in the airborne target echo is weak and easy to be polluted by noise,a robust laser micro Doppler feature extraction method based on PCA-CLEAN is proposed.Firstly,PCA is used to suppress the noise of the echo signal,and then clean algorithm is used to distinguish the fuselage component and the micro motion component in the echo,and then three micro motion differences reflecting different targets are extracted.The experimental results show that the proposed method can achieve better classification performance and better noise suppression performance under low SNR.