An RF-Based Positioning Method for Tracing a Cluster of Moving Scatterers in Non-Stationary Indoor Environments

This letter presents a novel iterative positioning method for tracing the body segments of a person moving indoors using radio-frequency (RF) signals. The indoor space is equipped with a multiple-input multiple-output (MIMO) communication system. The person is modelled by a cluster of moving point scatterers, playing the role of moving body segments. The proposed technique estimates the time-variant (TV) positions of the moving scatterers by fitting the TV channel transfer function (TVCTF) of the channel model as close as possible to the TVCTF of the measured channels. Numerical results are presented to demonstrate the accuracy of this method.

Automated summary

This letter introduces a novel iterative positioning method for tracing body segments of a person moving indoors using radio-frequency signals. The method models the person as a cluster of moving point scatterers and estimates the time-variant positions by fitting the channel model's time-variant channel transfer function to the measured channels, demonstrating high accuracy in numerical results.