计算机工程

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基于IR-UWB雷达的非接触式呼吸检测方法

  

  • 发布日期:2020-12-30

Non-contact respiration detection method based on IR-UWB radar

  • Published:2020-12-30

摘要: 针对脉冲超宽带(Impulse Radio Ultra-Wide Band,IR-UWB)雷达感知人体呼吸时接收信号的信噪比低所导致目标呼 吸频率、范围估计困难的问题,本文提出了一种基于 IR-UWB 雷达的非接触式呼吸检测方法(EK-RMS)。通过对原始信号进行 线性趋势消除及滤波,提高呼吸回波信号的信噪比,对回波信号在每个慢时间域上使用傅里叶变换估计出呼吸频率;根据回 波信号的均方根值和超值峰度的到达时间范围估计算法得到目标范围估计。最后进行目标范围估计和呼吸频率比对,实现目 标呼吸频率的估计。实验结果表明,EK-RMS 与 Phase-Based、FFT 以及 WT-Window 算法相比,本文所提出的 EK-RMS 具有 高 SNR、高鲁棒性、易实现等特点。

Abstract: Aiming at the problems of low Signal-to-noise Ratio (SNR) of Impulse Radio ultra-wide Band (IR-UWB) radar when estimating the target respiration frequency and range, a non-contact respiration detection method (EK-RMS) based on IR-UWB radar is proposed in this paper. Through linear trend subtraction (LTS) and filtering, the SNR of the respiration raw echo signal is improved, and the respiration frequency is estimated by using Fourier Transformation (FT) on each slow time domain of the echo signal. According to Root-mean-square (RMS) and Excess Kurtosis (EK) of the echo signal and the time-of-arrival (TOA) algorithm, the target range estimation is obtained. Finally, the target range estimation and the respiration frequency comparison are performed to realize the estimation of the target respiration frequency. Experimental results show that, compared with Phase-Based, FFT, and WT-Window algorithms, EK-RMS proposed in this paper has high SNR, high robustness, and easy implementation.