Multi-target recognition and distance detection method based on PE-Kmeans++ and HOC algorithm for UWB radar

In this paper, a multi-target recognition and distance detection method based on PE-Kmeans++ and HOC algorithm is proposed and tested experimentally. Firstly, the radar echo signal is preprocessed, and the number and distance of human targets are estimated based on PE-Kmeans++ algorithm. Then the body surface vibration signals of different targets are extracted to detect the vital signs of single target respectively. The respiration signal and heartbeat signal are restored according to the frequency range of respiration and heartbeat, and the corresponding peak frequency is extracted as the respiration and heartbeat frequency by the algorithm of HOC-FFT. Experimental results show that the proposed algorithm can accurately identify multiple human targets in the environment without complex preprocessing of the original echo signal.