Micro-motion feature extraction and recognition of ballistic targets is one of the important research directions in the field of radar targets recognition. On the basis of a brief description of the important research value of ballistic target recognition, combined with the research status at home and abroad, this paper firstly summarizes the echoes modeling methods of ballistic targets from the point scattering model, sliding scattering model, attribute scattering center model, etc., and then summarizes the micro\|motion feature extraction and imaging methods of ballistic targets from different radar observation perspectives such as monostatic radar, bistatic radar and multistatic radar. Thirdly, the classification and recognition methods of ballistic targets are summarized, which mainly based on artificial features and traditional classifiers or the deep learning. Finally, the technical difficulties and future development trends of this research directionare analyzed and forecasted.