Sequential Radio Tomographic Imaging Using Mobile Measurement Nodes

By analyzing attenuated wireless signals traversed across a region, Radio Tomographic Imaging (RTI) estimates a spatial loss field (SLF), which corresponds to a map quantifying attenuation of wireless signals at every spatial position within the region. In this paper, we propose a sequential RTI scheme using mobile measurement nodes such as unmanned aerial vehicles (UAVs). In the proposed scheme, the attenuation measurements between mobile nodes are collected and the SLF is estimated by means of a time-varying Kalman filter.