Human body and obstacle imaging based on commercial wireless sensor WiFi signals

In recent days, wireless sensors and communication signals are not limited to signal interaction and transmission, but more application possibilities have emerged, such as wireless environment awareness, human condition monitoring, etc. In this paper, we take into account the received signal strength indication information of commercial wireless sensor WiFi signal to obtain two-dimensional profile imaging results of human body and obstacle structures. More specifically, we establish an approximate electromagnetic propagation model between transmitting and receiving wireless sensors, which reveals the attenuation characteristics of radio waves passing through obstacles. Then, a modified statistical iterative imaging method based on the initial imaging matrix of filtered back projection tomography is proposed. Finally, the experimental results validate the effectiveness of the proposed approximate electromagnetic propagation model and imaging method.