A CSI Frequency Domain Fingerprint-Based Method for Passive Indoor Human Detection

摘要

The passive personnel detection based on Wi-Fi has the advantages of low cost and easy implementation, and can be better applied to elderly care and safety monitoring. In this paper, we propose a passive indoor personnel detection method based on Wi-Fi, which we call as FDF-PIHD (Frequency Domain Fingerprint-based Passive Indoor Human Detection). Through this method, fine-grained physical layer channel state information can be extracted to generate feature fingerprints so as to help determine the state in the scene by matching online fingerprints with off-line fingerprints. In order to improve accuracy, we combine the detection results of three receiving antennas to obtain the final test result. The experimental results show that the detection rate of our proposed scheme all reach above 90%, no matter whether the scene is human-free, stationary or moving human presence. Besides, it can not only detect whether there is a target indoor, but also determine the current state of the target.