Abstract: The key of ballistic missile recognition by micro-Doppler is to extract micro-Dopper from wideband radar echo signal. It is the high-speed sampling that results in higher demand of hardware and algorithm. The compressive sensing theory is applied to the extraction of micro-Doppler from wideband radar echo signal. The micro-Doppler formula of ballistic missile targets is derived, and the method of extracting micro-Doppler from wideband radar echo signal via compressive sensing is improved. The micro-Doppler extracted from the radar echo of ballistic missile targets by means of compressive sensing under low sample frequency is consistent in that extracted by Gabor transform under high-speed sample frequency, which means the method of extracting micro-Dopple based on compressive sensing which can debase the sampling of the ballistic missile radar ecoh and lower the difficulty of actualization is feasible and effective.