Abstract: Aiming at the detection of human heart rate in Frequency modulated continuous wave (FMCW) radar, a method based on Hampel filter and discrete wavelet transform is proposed. Firstly, the phase information including heartbeat and breathing is extracted from the IF signal by signal preprocessing to eliminate DC bias and complete phase unwinding. Hampel filter is used to reduce the influence of random jitter on the phase signal when the human body is sitting. Then, heartbeat and breathing signals are obtained from the phase signals based on the discrete wavelet transform. Finally, the heart rate is estimated, and then spatial smoothing filter for the monitoring scene is used to obtain the heart rate estimation results with higher accuracy. Using 77 GHz FMCW radar in simple and complex indoor environments, the experimental results show that the proposed method is better than other typical methods, and the average error value and average error rate of the obtained heart rate estimation results can reach 1.63 bpm and 1.66 % respectively.