Human breathing perception system based on Wi-Fi subcarrier mutual information
The unpredictable environmental changes cause large fluctuations in Wi-Fi signals,and it is difficult to quan-tify 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 per-ception(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 char-acteristics 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 repre-senting the dynamic component of human respiration.Simulation results show that the proposed system can better char-acterize 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.
dynamic component informationCSIcontactless respiratory monitoringanalytic hierarchy process
万方数据
维普
