基于Wi-Fi子载波互信息的人体呼吸感知系统

doi:10.11959/j.issn.1000-436x.2024009

Abstract

Abstract:

The unpredictable environmental changes cause large fluctuations in Wi-Fi signals, and it is difficult to quantify the static and behaviorally-aware dynamic components in the subcarriers, so it is not possible to accurately portray the fluctuating form of dynamic breathing characteristics.Based on this, a subcarrier mutual information breathing perception (SMIBP) system was proposed.Firstly, a form of inscribing dynamic component information (DCI) was proposed, and mutual information theory was utilized to extract the dynamic component information representing respiration in subcarriers.Then, analytic hierarchy process (AHP) was used to combine the subcarriers to maximize the dynamic characteristics of the respiratory signals to obtain the reconstructed DCI sensory base signals.Finally, the respiration rate was obtained by combining the wavelet transform and peak detection method, which revealed of a theoretical pathway representing the dynamic component of human respiration.Simulation results show that the proposed system can better characterize the dynamic breathing component in each subcarrier, and can significantly improve the sensing accuracy and range of Wi-Fi for small-scale actions in different scenarios.

Key words: dynamic component information, CSI, contactless respiratory monitoring, analytic hierarchy process

CLC Number:

TN911.6

Ying LIU, Mengyuan HU, Zhihong QIAN. Human breathing perception system based on Wi-Fi subcarrier mutual information[J]. Journal on Communications, 2024, 45(2): 240-253.

Figures/Tables 19

References 38

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方法	LOS（3 m）准确率	NLOS（3 m）准确率	朝向（0^o）准确率
单子载波^[18]	82%	82%	52%
有限子载波^[22]	80%	84%	65%
VMD^[36]	84%	83%	69%
SMIBP	86%	89%	75%

方法	LOS（3 m）准确率	NLOS（3 m）准确率	朝向（0^o）准确率
单子载波^[18]	69%	80%	44%
有限子载波^[22]	75%	79%	65%
VMD^[36]	84%	81%	68%
相位差^[37]	85%	89%	71%
SMIBP	91%	90%	77%

Human breathing perception system based on Wi-Fi subcarrier mutual information

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