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引用本文:屈乐乐, 杨 研. 基于MIMO⁃FMCW雷达的多人生命体征检测[J]. 雷达科学与技术, 2024, 22(3): 247-254.[点击复制]
QU Lele, YANG Yan. Multi⁃Target Vital Signs Detection Based on MIMO⁃FMCW Radar[J]. Radar Science and Technology, 2024, 22(3): 247-254.[点击复制]
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基于MIMO⁃FMCW雷达的多人生命体征检测
屈乐乐, 杨 研
沈阳航空航天大学电子信息工程学院, 辽宁沈阳 110136
摘要:
针对多输入多输出(MIMO)体制调频连续波(FMCW)雷达难于对室内环境多人生命体征进行准确检测的问题,本文提出一种基于MIMO?FMCW雷达的多人生命体征检测方法。首先对中频信号做距离维快速傅里叶变换(FFT)和Capon角度估计得到对应的距离角度图,利用二维恒虚警检测技术(2D?CFAR)和基于密度的聚类(DBSCAN)算法确定每个目标的距离角度信息,通过线性约束最小方差(LCMV)准则进行数字波束形成得到目标对应的慢时间维信号,并使用反正切函数完成相位信号的提取,最后利用谐波判别准则实现对呼吸和心跳信号频率的估计继而完成对多目标生命体征检测。实验结果表明,谐波判别准则实现了平均相对误差小于10%的呼吸率和心率检测精度,证明了该方法的有效性。
关键词:  多输入多输出  调频连续波雷达  数字波束形成  多人生命体征  谐波判别
DOI:DOI:10.3969/j.issn.1672-2337.2024.03.002
分类号:TN957.52
基金项目:国家自然科学基金(No.61671310);航空科学基金(No.2019ZC054004);辽宁省教育厅科学研究项目基金(No.LJKZ0172)
Multi⁃Target Vital Signs Detection Based on MIMO⁃FMCW Radar
QU Lele, YANG Yan
College of Electronic Information Engineering, Shenyang Aerospace University, Shenyang 110136, China
Abstract:
To address the problem that multiple?input multiple?output (MIMO) frequency modulated continuous wave (FMCW) radar is difficult to accurately detect multiple people’s vital signs in indoor environments, a multi?target vital signs detection method based on MIMO?FMCW radar is proposed in the paper. Firstly, the range fast Fourier transform (FFT) and Capon angle estimation are performed on the IF signal to obtain the distance angle map. Accordingly, the distance and angle information of each target is determined by using the two?dimensional constant false alarm detection technique (2D?CFAR) and density?based clustering of applications with noise (DBSCAN) algorithm. Then, the digital beamforming is performed by the linear constraint minimum variation (LCMV) criterion to obtain the slow time signal for each target. In particular, the arctangent demodulation is used to achieve the extraction of phase signal. Finally, the harmonic discrimination criterion is adopted to obtain the respiration rate and heart rate for each target. The experimental results show that the proposed method can realize the detection accuracy of respiration rate and heart rate with an average relative error of less than 10%.
Key words:  multiple⁃input multiple⁃output (MIMO)  frequency modulated continuous wave (FMCW) radar  digital beamforming  multiple people’s vital signs  harmonic discrimination

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