Personnel respiration and heartbeat detection method based on millimeter wave radar

Abstract

The invention discloses a personnel respiration and heartbeat detection method based on a millimeter wave radar, and belongs to the field of radar signal processing, and the method specifically comprises the steps: firstly, the radar transmits a linear frequency modulation pulse string signal to a to-be-detected target human body, and receives pulse echo signals containing clutters; a sampling matrix is formed through dechirp processing and discretization; then, fast Fourier transform is performed on each row of the matrix to obtain a time-distance image Rp (m, n); each column of Rp is used as a distance unit, and clutters of all distance units are eliminated by using the center of a constellation diagram; then, the noise power average value of each distance unit is taken as a threshold, a target existing in each distance unit is detected by adopting a unit average constant false alarm, and Doppler demodulation is performed according to the position of the target; finally, a separation waveform of respiration and heartbeat are reconstructed according to a demodulation result; cycle estimation on single breath or heartbeat is performed in the reconstructed waveform; and breathing and heartbeat waveforms and real-time frequency estimation of the pulse signals are output. The algorithm is simple, and the calculation amount is reduced.

Description

technical field [0001] The invention belongs to the field of radar signal processing, in particular to a method for detecting the breathing and heartbeat of personnel based on millimeter wave radar, which realizes non-contact monitoring of the breathing and heartbeat status of target personnel to provide health information. Background technique [0002] Respiratory and heartbeat parameters are an important basis for judging whether the human cardiopulmonary activity is normal. The occurrence of many sudden diseases usually leads to abnormal cardiopulmonary activity of the human body. Therefore, real-time monitoring of respiratory and heartbeat parameters is of great significance in the field of medical monitoring. . [0003] Existing detection methods of respiratory parameters are pressure sensor method, volumetric measurement method and palpation measurement method, etc., and heartbeat parameter measurement methods are electrocardiogram, finger pressure pulse measurement me...

AI Technical Summary

Problems solved by technology

Since the target human body motion of interest is included in the phase of the received signal, it is very sensitive to all non-target signal clutter. It is necessary to eliminate the clutter signal in the background without destroying the target signal, otherwise the Doppler demodulation result fatal error

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