Abstract: To achieve a non-contact high-precision vital signs measurement method, a heartbeat signal separation and reconstruction method based on optimized variational mode decomposition (VMD) is proposed. Through a series of signal preprocessing such as target identification, phase extraction, phase differencing, phase smoothing of the intermediate frequency signal of the radar, a bandpass filter is designed according to the frequency of the heartbeat, and the parameters of the VMD are optimized by using the grey wolf optimization (GWO) algorithm and the fuzzy entropy (FE) function. Finally, the spectral refinement of the heart rate component is performed by using chirp Z-transform to obtain the actual heart rate. The superiority of the proposed method is verified by experiments and the comparison with electrocardiogram monitoring equipment and various algorithms. After 334 sets of experiments, the root-mean-square error of this paper is 2.59, and the average absolute percentage error is 2.65%, indicating that this method performs better in both accuracy and real-time performance.