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Channel Modeling and Characteristics of Human Motion Using Dynamic Ray Tracing and MoCap
LIU, Yuan; FUCHS, Johann; MYSORE RAMA RAO, Bhavani Shankar
2024In Channel Modeling and Characteristics of Human Motion Using Dynamic Ray Tracing and MoCap
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Keywords :
Channel modeling; channel parameters; FMCW radar; human motion recognition; dynamic ray tracing
Abstract :
[en] Radio-based motion behavior recognition is a key to enabling integrated sensing and communication (ISAC) in the 6G landscape. Data-driven approaches are popular to achieve human motion identification and most of them are based on the range-Doppler maps (RDMs) of radar measurements, where the Doppler and the micro-Doppler (uDop) frequency shifts due to motion are embedded. In this paper, we characterize the human motions of the radar signals using typical wireless channel modeling parameters, e.g., normalized Doppler power spectral density (ND-PSD) and root-mean-square Doppler spread (RMSDS). Specifically, a proposed dynamic ray tracing (RT) based on Blender is used to simulate time-varying radar channels, where the real human motions are imported from the motion capture (MoCap) database, hence the simulated radar channels contain dynamic real human motion, multipaths of clutters, and also the interaction between target and the environment. The simulation results show that the Doppler channel parameters are consistent with the conventional radar images, besides containing more semantic information about the human motions and scenarios. This provides the feasibility of utilizing channel parameters as training datasets.
Disciplines :
Electrical & electronics engineering
Author, co-author :
LIU, Yuan  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SPARC
FUCHS, Johann  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SPARC
MYSORE RAMA RAO, Bhavani Shankar  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SPARC
External co-authors :
no
Language :
English
Title :
Channel Modeling and Characteristics of Human Motion Using Dynamic Ray Tracing and MoCap
Publication date :
08 December 2024
Event name :
2024 IEEE Globecom Workshops (GC Wkshps)
Event organizer :
IEEE communication society
Event place :
Cape Town, South Africa
Event date :
8-12 December 2024
Audience :
International
Main work title :
Channel Modeling and Characteristics of Human Motion Using Dynamic Ray Tracing and MoCap
Publisher :
IEEE
Peer reviewed :
Peer reviewed
Focus Area :
Security, Reliability and Trust
Name of the research project :
U-AGR-7062 - BRIDGES2020/15407066/MASTERS - MYSORE RAMA RAO Bhavani S
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since 06 December 2024

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