计算机科学 ›› 2020, Vol. 47 ›› Issue (10): 48-54.doi: 10.11896/jsjkx.200500057
所属专题： 群智感知计算
戴欢1,2, 蒋敬敬1, 束沁冬1, 石鹏展1, 史文华1
DAI Huan1,2, JIANG Jing-jing1, SHU Qin-dong 1, SHI Peng-zhan1, SHI Wen-hua1
摘要： 随着无线通信技术的发展,基于无线的感知技术得到了广泛的研究。文中提出一种基于信道状态相位信息的生命体征监测算法。该算法使用传统WiFi设备获取信道状态相位信息;通过线性变换,减小因收发端不同步而引起的相移和时延干扰;采用Hampel滤波,滤除信号衰落和多径效应引入的直流分量和高频噪声;采用离散小波变换提取生命体征信息,进而根据呼吸和心跳频率的特点,分别采用多载波峰值融合算法估计呼吸频率和快速傅里叶算法估计心跳频率。实验结果表明,在多种场景下,所提算法能有效监测人员的呼吸和心跳频率。
中图分类号:
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