Human Motion Sensing through Blockage and Reflection Measurements at 60 GHz and 300 GHz

As future wireless communication systems operating in the terahertz frequency range (0.1 to 1 THz) will likely utilize highly directive antennas to mitigate high path losses, precise alignment between the transmitter and the receiver becomes crucial. In time-variant propagation scenarios therefore, beam tracking and switching are necessary. Consequently, integrated sensing and communication is becoming increasingly important as it enables the detection of potential channel changes. In this study, time-variant power delay profiles from measurements involving a moving human are employed to assess movement. Blockage scenario measurements are used to determine the moving direction, while reflection scenario measurements assess velocity. The results demonstrate that channel measurements can successfully be used to track human movement characteristics, specifically walking direction and velocity.