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Zhang, Y., Ma, Y., Yu, X., Wang, P., Lv, H., Liang, F., et al. (2021) A Coarse-To-Fine Detection and Localization Method for Multiple Human Subjects under Through-Wall Condition Using a New Telescopic SIMO UWB Radar. Sensors and Actuators A: Physical, 332, Article ID: 113064. https://doi.org/10.1016/j.sna.2021.113064

has been cited by the following article:

• TITLE: Radar-Based Multi-Target Localization and Vital Sign Monitoring

  AUTHORS: Yuping Shi, Qinwei Li, Hang Wu, Ming Yu

  KEYWORDS: Frequency-Modulated Continuous Wave (FMCW) Radar, Multi-Target, Multiple Signal Classification (MUSIC), Variational Mode Decomposition (VMD)

  JOURNAL NAME: Journal of Computer and Communications, Vol.12 No.11, November 29, 2024

  ABSTRACT: The frequency-modulated continuous wave (FMCW) radar, known for its high range resolution, has garnered significant attention in the field of non-contact vital sign monitoring. However, accurately locating multiple targets and separating their vital sign signals remains a challenging research topic. This paper proposes a scene-differentiated method for multi-target localization and vital sign monitoring. The approach identifies the relative positions of multiple targets using Range FFT and determines the directions of targets via the multiple signal classification (MUSIC) algorithm. Phase signals within the range bins corresponding to the targets are separated using bandpass filtering. If multiple targets reside in the same range bin, the variational mode decomposition (VMD) algorithm is employed to decompose their breathing or heartbeat signals. Experimental results demonstrate that the proposed method accurately localizes targets. When multiple targets occupy the same range bin, the mean absolute error (MAE) for respiratory signals is 3 bpm, and the MAE for heartbeat signals is 5 bpm.