无线电工程2025，Vol.55Issue(9)：1877-1886,10.DOI:10.3969/j.issn.1003-3106.2025.09.015
基于PSO-FMD的FMCW雷达生命体征检测
Vital Sign Detection by FMCW Radar Based on PSO-FMD
摘要
Abstract
In order to further improve the accuracy of non-contact vital sign detection,an algorithm based on optimized Feature Mode Decomposition(FMD)is proposed for the separation and reconstruction of respiratory signals and heartbeat signals.The Frequency Modulated Continuous Wave(FMCW)is emitted through the millimeter-wave radar acquisition module to obtain the echo signal of the human body.A series of processing such as phase demodulation and envelope extraction of this signal is carried out to obtain the original physiological signal model.To deal with the problems such as breathing harmonics and clutter interference existing in the original signal,the Particle Swarm Optimization(PSO)algorithm and Envelope Peak Factor functions are used to optimize the filter length and the number of frequency bands in FMD,thereby accurately separating the respiratory signal and the heartbeat signal.Experiments demonstrate the effectiveness of the proposed algorithm in suppressing interferences from clutter and respiratory harmonics during the detection at various distances.Additionally,the proposed algorithm can significantly enhance the resolution of weak heart rate signals,providing a high-precision solution for non-contact vital signs monitoring.关键词
毫米波雷达/生命体征/特征模态分解/粒子群优化算法Key words
millimeter-waver radar/vital sign/FMD/PSO algorithm分类
信息技术与安全科学引用本文复制引用
田淦宏,蔡志明,赖东升,吴威涛,郭礼贤..基于PSO-FMD的FMCW雷达生命体征检测[J].无线电工程,2025,55(9):1877-1886,10.基金项目
福建理工大学科研启动基金(GY-Z21064)Research Startup Fund of Fujian University of Technol-ogy(GY-Z21064) （GY-Z21064）
