论文标题
使用雷达信号的基于差异消息传递的呼吸运动估计和检测
Variational Message Passing-Based Respiratory Motion Estimation and Detection Using Radar Signals
论文作者
论文摘要
我们提出了一种差异消息传递（VMP）方法，可根据多种超宽带（UWB）雷达根据呼吸道胸部运动来检测人的存在。在此过程中，估计呼吸运动对无接触式生命体征监测。接收的信号是通过反向散射通道建模的，呼吸运动和传播通道是使用VMP估算的。我们使用下限（ELBO）的证据来近似检测模型证据。数值分析和测量结果表明，与基于快速的傅立叶变换（FFT）检测器或估计值相关器相比，该提出的方法可以显着改善检测性能，因为多径成分（MPC）更好地纳入了检测过程。具体而言，所提出的方法的检测概率为-20 dB信噪比（SNR）为0.95，而估计器 - 相关器和基于FFT的检测器的检测概率分别为0.32和0.05。
We present a variational message passing (VMP) approach to detect the presence of a person based on their respiratory chest motion using multistatic ultra-wideband (UWB) radar. In the process, the respiratory motion is estimated for contact-free vital sign monitoring. The received signal is modeled by a backscatter channel and the respiratory motion and propagation channels are estimated using VMP. We use the evidence lower bound (ELBO) to approximate the model evidence for the detection. Numerical analyses and measurements demonstrate that the proposed method leads to a significant improvement in the detection performance compared to a fast Fourier transform (FFT)-based detector or an estimator-correlator, since the multipath components (MPCs) are better incorporated into the detection procedure. Specifically, the proposed method has a detection probability of 0.95 at -20 dB signal-to-noise ratio (SNR), while the estimator-correlator and FFT-based detector have 0.32 and 0.05, respectively.
