A New Non-Stationary 3D Channel Model with Time-Variant Path Gains for Indoor Human Activity Recognition

EasyChair Preprint no. 6271

Abstract

In this paper, we introduce a new three-dimensional (3D) channel model to describe the propagation phenomenon taking place in indoor environments, equipped with a multiple-input multiple-output (MIMO) system, in the presence of a single moving person. Specifically, assuming that the person is modelled by a cluster of moving point scatterers, which act as relays, we derive the time-variant transfer function (TVTF) with TV path gains and TV path delays. Then, we analyse the effect of the motion of the person on the spectrogram of the TVTF, the TV mean Doppler shift, and the TV Doppler spread. Numerical results are presented to confirm the accuracy of the proposed channel model.

Keyphrases: Doppler characteristics, Human Activities Recognition, non-stationary channels, Spectrogram

@Booklet{EasyChair:6271,
  author = {Rym Hicheri and Ahmed Abdelgawwad and Matthias Pätzold},
  title = {A New Non-Stationary 3D Channel Model with Time-Variant Path Gains for Indoor Human Activity Recognition},
  howpublished = {EasyChair Preprint no. 6271},

  year = {EasyChair, 2021}}