The Separation of the Heartbeat and Respiratory Signal of a Doppler Radar Based on the LMS Adaptive Harmonic Cancellation Algorithm

This paper proposed a LMS adaptive harmonic cancellation algorithm, in order to effectively separate the breathing and heartbeat signal from biological radar, so that the physiological characteristic parameter (respiration rate and heart rate) can be real-time monitored. The harmonic combination of the respiratory signal is regarded as reference input of the model, and the bio-radar body motion signal is regarded as the original input of the model. The results suggest that the breathing and heartbeat signal can be well separated by the proposed algorithm. Also, the proposed method is simple and easy to implement. Therefore, it is expect that the proposed method can be applied to separate the breathing and heartbeat signal from Doppler radar echo signal.