Fine-grained breathing waveform reconstruction method based on MIMO millimeter wave radar

The invention belongs to the field of non-contact vital sign monitoring, and discloses a fine-grained breathing waveform reconstruction method based on an MIMO millimeter-wave radar, which comprises the following steps: setting radar parameters and carrying out data acquisition, processing the data by using two-dimensional Fourier transform to obtain a time-distance-azimuth radar matrix, and carrying out fine-grained breathing waveform reconstruction on the basis of the time-distance-azimuth radar matrix; the method comprises the steps that a time-distance-azimuth radar matrix is obtained, reflected signals of static objects in the time-distance-azimuth radar matrix are removed through a loopback filter, a human body area is positioned through a 2D-CFAR algorithm, rotation processing, label normalization processing and data set division are conducted on I/Q components in the human body area, an IQ-Transformer model is built, radar data to be predicted are input into a trained network model, and the radar data