摘要
在无感雷达体征监测中,与连续波(CW)雷达相比,调频式雷达(如FMCW和UWB)能实现对目标与杂波在距离上的有效区分。通过距离傅里叶变换,可以从不同距离区间提取出准静态目标的心跳和呼吸信号,从而提高监测精度。在已有研究中被广泛使用的距离快速傅里叶变换(FFT)存在一些缺陷:首先,当受试者的呼吸幅度过大,胸腔反射面可能会跨越距离仓的边界,从而影响信号的完整性。其次,受试者的呼吸运动会对生理信号造成幅度上的调制,不利于体征信号的波形恢复。基于上述原因该文提出了基于距离抽头重构和动态解调的算法架构,针对上述两种情况,在仿真和实验中对算法性能进行了评估。仿真分析表明发生跨距离仓的信号经过所提出算法处理后,信噪比(SNR)提升了17±5 dB。此外,实验通过获取8名受试者的多普勒心跳图(DHD)信号,定量分析了DHD信号与心冲击图(BCG)的一致性,DHD信号中心跳间隔相对于BCG信号的心跳间隔的均方根误差(RMSE)为21.58±13.26 ms(3.40%±2.08%)。
In non-inductive radar vital sign monitoring,frequency-modulated radars(such as Frequency Modulated Continuous Wave(FMCW)and Ultra-WideBand(UWB))are more effective than Continuous Wave(CW)radars at distinguishing targets from clutter in terms of distance.Using range Fourier transform,the heartbeat and breathing signals can be extracted from quasi-static targets across various distance intervals,thereby improving monitoring accuracy.However,the commonly used range Fast Fourier Transform(FFT)presents certain limitations:The breathing amplitude of the subject may cross the range bin boundary,compromising signal integrity,while breathing movements can cause amplitude modulation of physiological signals,hindering waveform recovery.To address these reasons,we propose an algorithm architecture featuring range tap reconstruction and dynamic demodulation.We tested the algorithm performance in simulations and experiments for the cross range bin cases.Simulation results indicate that processing signals crossing range bins with our algorithm improves the signal-to-noise ratio by 17±5 dB.In addition,experiments recorded Doppler Heartbeat Diagram(DHD)signals from eight subjects,comparing the consistency between the DHD signals and the ballistocardiogram.The root means square error of the C-C interval in the DHD signal relative to the J-J interval in the BallistoCardioGram(BCG)signal was 21.58±13.26 ms(3.40%±2.08%).
作者
刘畅宇
张浩
耿芳琳
白忠瑞
王鹏
李振锋
杜利东
陈贤祥
方震
LIU Changyu;ZHANG Hao;GENG Fanglin;BAI Zhongrui;WANG Peng;LI Zhenfeng;DU Lidong;CHEN Xianxiang;FANG Zhen(Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100094,China;School of Electronic,Electrical and Communication Engineering,University of Chinese Academy of Sciences,Beijing 100049,China;Personalized Management of Chronic Respiratory Disease,Chinese Academy of Medical Sciences,Beijing 100094,China;School of Electronic Information and Electrical Engineering,Shanghai Jiao Tong University,Shanghai 200030,China)
出处
《雷达学报(中英文)》
北大核心
2025年第1期135-150,共16页
Journal of Radars
基金
国家自然科学基金(62331025,U21A20447,62071451)
国家重点研发计划项目(2021YFC3002204)
中国医学科学院医学科学创新基金(2019-I2M-5-019)。
关键词
毫米波无线电
无线传感
心率监测
非接触式传感
调频连续波
Millimeter-wave radio
Wireless sensing
Heart rate monitoring
Non-contact sensing
Frequency Modulated Continuous Wave(FMCW)
