Abstract: When the cone-shaped target is flying in exo-atmosphere, the micro-motion of the targets belongs to precession and that of the decoy belongs to wobble or spin. In order to recognize the targets from its decoys, a method is proposed based on the low resolution radar signal. Based on the difference in the micro-Doppler, entropy and variance in frequency domain as recognition feature are extracted. Analyze the micro-Doppler signature of the target and the decoy in the multi-sections model, a conclusion is reached that the micro-Doppler spectrum of echo from target depends on the precession parameters and that of the decoy depends on the wobblespin parameter. Entropy and variance in frequency domain as recognition feature are extracted. The experiment shows that the method is efficient.