基于VMD-SWT联合算法的FMCW雷达生命体征检测

Vital signs detection of FMCW radar based on VMD-SWT joint algorithm

针对雷达生命体征检测中心跳信号易受到呼吸谐波干扰的现象,提出了一种基于变分模态分解(variational mode decomposition,VMD)与同步压缩小波变换(synchrosqueezed wavelet transform,SWT)的联合算法。该方法利用VMD从胸部位移信号中分离出呼吸信号和心跳信号,并对心跳信号使用SWT进一步处理,以获得心跳信号的时频信息。实验结果表明,该方法能够有效分离呼吸信号和心跳信号,并准确提取心跳信号的时频信息,降低呼吸谐波对检测结果的干扰,心率检测结果的均方根误差为2.12次/min。

A joint algorithm based on variational mode decomposition(VMD)and synchrosqueezed wavelet transform(SWT)was proposed to address the issue of heartbeat signal interference caused by respiratory harmonics in radar-based vital signs detection.In this method VMD was utilized to separate the respiratory signal and heartbeat signal from the chest displacement signal,and SWT was used to further process the heartbeat signal and obtain its time-frequency information.Experimental results show that the method can effectively separate the respiratory and heartbeat signals,accurately extract the time-frequency information of the heartbeat signal,reduce the interference of respiratory harmonics on the detection results,and achieve a root mean square error of 2.12 beat/min for the heart rate detection results.