Research on signs detection of multi-moving targets with millimeter wave radar
For non-contact target sign detection by millimeter wave radar,a fast-moving multi-target scene was studied through simulation experiments.First,the measurement information of the target position and speed is ob-tained,and the corresponding relationship between each measurement distance and angle is obtained through an inno-vative algorithm,and then the joint probabilistic data association(JPDA)and nearest neighbor data association(NN-DA)are used respectively.Multiple targets are tracked,and then their sign phase information is extracted,and the short-time Fourier transform algorithm is used to estimate the frequency of the processed sign signal.Through experi-ments,it can be seen that for moving targets with speeds up to 0.9 m/s,this detection method can obtain the target's breathing frequency with a small error;however,because the heartbeat signal is relatively weak,it can only be detec-ted in a static state.Compared with other radar sign detection methods,this method can detect the breathing frequency of the speed of 0.9 m/s at a root mean square error detection rate of 0.035,and can detect multiple targets simultane-ously without being easily confused.
modulated continuous wave radarshort-time fourier transformmulti-targetsign detectiondata association
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