Aiming at difference of micro-motion echo signal of two kinds of vehicles

target vehicle is identified and classified. Ensemble empirical mode decomposition（ EEMD） is employed to decompose original signal into a number of intrinsic mode function（ IMF）. By means of correlation analysis

it is proved that EEMD can effectively overcome the mode mixing problem caused by EMD. On this basis

four features are extracted

the nearest neighbor method is used for classification. Experimental results show that the features extracted after EEMD are effective and fairly robust against the variation of the target velocity and azimuth angle.