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

Jingwen Zhang; Qingjie Qi; Huifeng Cheng; Lifeng Sun; Youxin Zhao

doi:10.1117/12.2640249

9 May 2022 Multi-target recognition and distance detection method based on PE-Kmeans++ and HOC algorithm for UWB radar

Jingwen Zhang, Qingjie Qi, Huifeng Cheng, Lifeng Sun, Youxin Zhao

Author Affiliations +

Proceedings Volume 12252, International Conference on Biometrics, Microelectronic Sensors, and Artificial Intelligence (BMSAI); 122520L (2022) https://doi.org/10.1117/12.2640249
Event: International Conference on Biometrics, Microelectronic Sensors, and Artificial Intelligence (BMSAI), 2022, Guangzhou, China

Abstract

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.

Citation Download Citation

Jingwen Zhang, Qingjie Qi, Huifeng Cheng, Lifeng Sun, and Youxin Zhao "Multi-target recognition and distance detection method based on PE-Kmeans++ and HOC algorithm for UWB radar", Proc. SPIE 12252, International Conference on Biometrics, Microelectronic Sensors, and Artificial Intelligence (BMSAI), 122520L (9 May 2022); https://doi.org/10.1117/12.2640249

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