基于77 GHz毫米波雷达感知的生命体征检测方法  

Vital sign detection method based on 77 GHz mmwave radar perception

作　　者：景会成 白英杰 曾凯 赵欣 白世平 Jing Huicheng;Bai Yingjie;Zeng Kai;Zhao Xin;Bai Shiping(School of Electrical Engineering,North China University of Science and Technology,Tangshan 063210,China;Ganzhou Bauhinia Zhongke Intelligent Technology Co.,Ltd.,Ganzhou 341199,China)

机构地区：[1]华北理工大学电气工程学院,唐山063210 [2]赣州紫荆中科智能科技有限公司,赣州341199

出　　处：《电子测量技术》2022年第22期55-63,共9页Electronic Measurement Technology

基　　金：河北省省属高等学校基本科研业务费研究项目(JYG2020004)资助。

摘　　要：本文针对在室内复杂环境中非接触式测量呼吸频率(HR)和心率(BR)时,存在准确度较低的问题,提出一种基于77 GHz毫米波雷达感知的生命体征检测方法,通过在距离雷达不同距离进行多次实验,以Mindray心电监测仪测量数据为参考,验证本文方法的准确率。首先,通过脉冲间非相干积累技术处理多脉冲中频信号,提高信号的信噪比(SNR)和信号幅值。接着,采用基于距离维FFT频谱与CA-CFAR自适应门限的目标检测方法,从室内复杂环境中提取出人体目标相位信息,并使用Fir带通滤波器分离出呼吸和心跳信号,通过改进的平滑滤波结合相位二阶差分的方法,去除噪声和减小呼吸谐波对心跳信号的影响。之后,使用Root-MUSIC算法获得HR和BR。实验结果表明:本文方法得到的HR和BR的平均绝对误差率分别小于5.08%和2.61%,平均绝对误差为0.94 bpm和1.97 bpm,因此,本文方法能够提高测量准确度。Aiming at the problem of low accuracy in non-contact measurement of respiratory rate(HR)and heart rate(BR)in indoor complex environment,this paper proposes a vital sign detection method based on 77 GHz mmwave radar perception.Through multiple experiments at different distances from the radar and taking the measured data of Mindray ECG monitor as a reference,the accuracy of this method is verified.Firstly,the multi pulse if signal is processed by incoherent accumulation technology between pulses to improve the signal-to-noise ratio(SNR)and signal amplitude.Then,the target detection method based on distance dimension FFT spectrum and CA-CFAR adaptive threshold is used to extract the human target phase information from the indoor complex environment,and the respiratory and heartbeat signals are separated by FIR band-pass filter.The improved smoothing filter combined with the second-order phase difference method is used to remove the noise and reduce the impact of respiratory harmonics on the heartbeat signal.Then,the root MUSIC algorithm is used to obtain HR and Br.Finally,the measurement results of Mindray ECG monitor are used as a reference to verify the measurement accuracy of this method.The experimental results show that the average absolute error rates of HR and Br obtained by this method are less than 5.08%and 2.61%respectively,and the average absolute error is 0.94 bpm and 1.97 bpm.Therefore,this method can improve the measurement accuracy.

关 键 词：毫米波雷达 生命体征 目标检测 ROOT-MUSIC 频率估计 

分 类 号：TN959.1[电子电信—信号与信息处理]