基于FMCW雷达的多目标生命信号检测方法OACSTPCD

In order to solve the problem of difficulty in extracting multi-target vital signs caused by the limited working bandwidth,a multi-target vital signs extraction method for frequency modulated continuous wave(FMCW)radar based on forward-backward spatial smoothing multiple signal classification(FBSS-MUSIC)is proposed.Firstly,the range dimension fast Fourier transform(FFT)is performed on the intermediate frequency signal to obtain the range profile.Then,the FBSS-MUSIC algorithm performs high-resolution range estimation to determine the range bin of each target and the phase signal corresponding to each target is obtained by integrating along the range dimension.The phase signal is decomposed by using the variational modal decomposition(VMD)algorithm and the life signal is reconstructed according to the mode judgement criterion.Finally,the short-time Fourier transform(STFT)is applied to estimate the frequency of the vital signal.The experimental results show that the proposed method can significantly improve the range resolution compared with the range-FFT and achieve the accurate range localization and vital signs extraction of multiple targets.