This paper presents a novel localization technique—Multipath-radio
tomographic imaging (RTI)—based on millimeterwave (mm-wave) radio
systems, such as 5G mobile and WiGig LAN systems. Because of their high
delay and angle resolutions, mm-wave radio systems can realize highly
accurate device-free localization (DFL) for smart home/smart building
applications. They can thus easily separate the multipath components.
The Multipath-RTI can drastically reduce the number of anchor nodes
using virtual nodes created by multipaths. This paper established the
signal processing procedure for RTI image generation and position
estimation using Multipath-RTI. Then, a practical signal processing
scheme, ray-tracing-assisted Multipath-RTI, is presented, and the DFL
results obtained by multilink double-directional channel sounding
measurements are shown. Here, the position estimation errors in the
measurements were less than 0:5 m for all target positions. Furthermore,
the empirical position estimation errors for a single target under
various conditions obtained by simulations were less than 0:5 m in 96.2
% and 88.0 % of the areas in an L-shaped room and a room with an
obstacle in the center, respectively. The position estimation accuracy
for multiple targets was also evaluated, where, for example, the errors
for three targets were less than 0.1 m at 50 % probability with failure
rates of less than 20 %.