桂林电子科技大学学报2026，Vol.46Issue(2)：141-149,9.DOI:10.16725/j.1673-808X.202420
基于WiFi-CSI多载波幅相融合的呼吸监测算法
Respiratory monitoring algorithm based on WiFi-CSI multi-carrier amplitude fusion
摘要
Abstract
WiFi human respiratory sensing technology has low-cost and non-contact characteristics,which can solve the problems of high cost and poor comfort in wearable respiratory monitoring and thus great development potential.Aiming at the existing respira-tory monitoring technology due to the perception of the"blind spot"which leads to the decrease of respiratory perception range and perception accuracy,a new non-contact respiratory frequency monitoring algorithm WiK-Breath based on WiFi is proposed.K-Means clustering algorithm to cluster 90 subcarriers into several sets with similar characteristics,and control the number of subse-quent subcarriers to be fused by a threshold.Secondly,a respiratory feature sequence was constructed by linearly combining the am-plitude and phase of the subcarriers,and the respiratory frequency results of each subcarrier were weighted and fused to achieve res-piratory frequency monitoring using the BNR values as the weights.Experimental results show that the proposed respiration moni-toring algorithm can achieve a respiration error as low as 3.4%when the human body and the transceiver device are 7 metres apart.Compared with existing algorithms,WiK-Breath's breathing estimation error is reduced by 15.7%.关键词
WiFi/K-Means/子载波选择/幅相融合/呼吸频率估计Key words
WiFi/K-Means/subcarrier selection/amplitude-phase fusion/respiratory rate estimation分类
信息技术与安全科学引用本文复制引用
刘言,王守华,孙希延,王睿菘,石贵川..基于WiFi-CSI多载波幅相融合的呼吸监测算法[J].桂林电子科技大学学报,2026,46(2):141-149,9.基金项目
广西精密导航技术与应用重点实验室基金(DH202301) （DH202301）
国家自然科学基金(U23A20280,62161007,62061010) （U23A20280,62161007,62061010）
桂林电子科技大学研究生教育创新计划(2023YCXS035) （2023YCXS035）
