北京信息科技大学学报（自然科学版）2023，Vol.38Issue(6)：41-47,7.DOI:10.16508/j.cnki.11-5866/n.2023.06.006
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
何鹏宇 1卓智海1
作者信息
- 1. 北京信息科技大学信息与通信工程学院,北京 100101
- 折叠
摘要
Abstract
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.关键词
调频连续波雷达/生命体征检测/变分模态分解/同步压缩小波变换Key words
frequency modulated continuous wave radar/vital signs detection/variational mode decomposition/synchrosqueezed wavelet transform分类
信息技术与安全科学引用本文复制引用
何鹏宇,卓智海..基于VMD-SWT联合算法的FMCW雷达生命体征检测[J].北京信息科技大学学报（自然科学版）,2023,38(6):41-47,7.
