Vital Signs Detection Based on UWB Radar Using Trajectory Capture and Peak Capture

Abstract

A novel vital sign detection algorithm based on trajectory capture and peak capture is proposed to solve the problem that the heartbeat signal of slightly moving subjects is easily interfered by breathing harmonics and other clutter. First, the received signal is processed by the average cancellation method to suppress the stationary clutter. Then, we use the trajectory capture algorithm to catch the moving trajectory of the subject, use the trajectory to correct each received pulse, and use the distance gate selection algorithm to extract the body surface vibration signal. After that, the body surface vibration signal was subjected to low-pass filtering in the frequency domain and autocorrelation processing to improve the signal-to-noise ratio of the signal. Finally, the frequency-domain peak capture algorithm of N iterations was used to extract the vital signs of the signal. Simulation results show that the algorithm can accurately extract the vital signs of slightly moving subjects, and has higher measurement accuracy and better stability than the traditional algorithm.