A Radio Tomographic Imaging Method using Channel State Information and Image Fusion

Indoor radio tomographic imaging (RTI) is a cuttingedge technology, which could reconstruct the cross-sectional image of an object within the monitored area. It builds imaging procedure by analyzing the effects of objects on surrounding wireless signals. Channel state information (CSI) provides the amplitude and phase information on each sub-carrier for every transmit-receive antenna pairs. Compared with received signal strength (RSS), CSI could provide finer-grained and abundant channel measurements. In this paper, we propose a CSI-RTI system. Specifically, we separately analyze the amplitude and phase information of CSI to get the influence mechanism of the person on them, and then a CSI mixed imaging approach is proposed to construct an image on each antenna pair. Finally, we propose a wireless indoor imaging scheme based on image fusion to deal with the situation of multiple antenna pairs. Experimental results are compared with the RSS-based radio tomographic imaging approach, the imaging accuracy and localization performance have been improved.