Non-contact Multi-target Vocal Folds Vibration Detection based on MIMO FMCW Radar

Yue Ma, Hong Hong, Kunpeng Xue, Heng Zhao, Xiaohua Zhu
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引用次数: 0

Abstract

This paper presents a non-contact vocal folds vibration detection method for multiple targets based on an integrated 77-GHz multiple-input multiple-output (MIMO) frequency modulated continuous wave (FMCW) radar sensor. The multiple signal classification (MUSIC) based direction-of-arrival (DOA) estimation and linear constraint minimal variance (LCMV) adaptive digital beamforming (ADBF) are applied to obtain the separated signals of multiple subjects. The range-FFT and signal realignment methods are performed on the separated signals to achieve the vocal folds vibration of each subject. Experiments of two subjects speaking simultaneously are carried out. Compared with the reference vibration sensor, the proposed method based on radar can accurately detect the vocal folds vibration of multiple targets at the same time.
基于MIMO FMCW雷达的非接触式多目标声带振动检测
提出了一种基于集成77 ghz多输入多输出(MIMO)调频连续波(FMCW)雷达传感器的多目标非接触式声带振动检测方法。采用基于多信号分类(MUSIC)的到达方向(DOA)估计和线性约束最小方差(LCMV)自适应数字波束形成(ADBF)来获取多目标的分离信号。对分离的信号进行范围- fft和信号重组,实现每个受试者的声带振动。进行了两名被试同时说话的实验。与参考振动传感器相比,本文提出的基于雷达的方法可以准确地同时检测多个目标的声带振动。
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