Abstract: The wavelet transform has an excellent application prospect in the detection of micro-Doppler effect because of its high precision and good noise immunity. The signal was decomposed into the minutia part of every scale with the multi-resolution analysis (MRA) in order to extract the low pass signal which contains the micro-Doppler effect features. The micro-Doppler effect, which was caused by the miniature vibration of the target, was acquired. The comparison studies for the original signal and the result obtained with MRA decomposition were implemented by the frequency analysis and time-frequency domain joint analysis based on the instantaneous frequency (Instfreq). The result indicates that the extractration of the vibrating signal features from the micro-Doppler effect can be more effective if the low-frequency signal is analyzed by the time-frequency analysis after it is processed with MRA. It provides a convenient method for the recognition, classification and detection of the target features.