2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring) 2019
DOI: 10.1109/vtcspring.2019.8746345
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A 3D Non-Stationary Cluster Channel Model for Human Activity Recognition

Abstract: This paper proposes a three-dimensional (3D) non-stationary fixed-to-fixed indoor channel simulator model for human activity recognition. The channel model enables the formulation of temporal variations of the received signal caused by a moving human. The moving human is modelled by a cluster of synchronized moving scatterers. Each of the moving scatterers in a cluster is described by a 3D deterministic trajectory model representing the motion of specific body parts of a person, such as wrists, ankles, head, a… Show more

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Cited by 7 publications
(12 citation statements)
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“…The contribution of the fixed scatterers S k ij is removed by applying a highpass filtering. For the remaining parameters as well as the scenario with constant path gains, we consider the same simulation parameters as described in [3,Section V].…”
Section: Simulation Resultsmentioning
confidence: 99%
See 3 more Smart Citations
“…The contribution of the fixed scatterers S k ij is removed by applying a highpass filtering. For the remaining parameters as well as the scenario with constant path gains, we consider the same simulation parameters as described in [3,Section V].…”
Section: Simulation Resultsmentioning
confidence: 99%
“…To visualize the influence of introducing TV path gains to describe the motion of the person (modelled by a cluster of synchronized moving scatterers), we consider the spectrogram S ij (f , f, t) of the TVCTF H ij (f , t) using a Gaussian window [3,6].…”
Section: D Non-stationary Channel Modelmentioning
confidence: 99%
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“…Then, this model has been extended for 2D no n-stationary fixed-to-fixed (F2F) indoor channels by considering the time-variant (TV) speed of the moving scatterer, angle of motion, angle of arrival, and angle of departure [6]. Later on, the TV Doppler frequency caused by the moving scatterer has been incorporated in three-dimensional (3D) channels by taking into account the TV azimuth angles of motion (AAOM), elevation angle of motion (EAOM), azimuth angle of departure (AAOD), elevation angle of departure (EAOD), azimuth angle of arrival (AAOA), and elevation angle of arrival (EAOA) for fixed-to-fixed channel models [6,7] and vehicle-to-vehicle channels [8]. To reveal the TV Doppler power characteristics of non-stationary multicomponent signals, a time-frequency distribution such as the spectrogram can be employed.…”
Section: Introductionmentioning
confidence: 99%