A Novel Channel Characterization Method Based on Ray Tracing for Human Fall Scenario
Xinyi Shan, Ke Guan, Hao An, Danping He, Xiping Wang, Fei Hu Qin, Xiao-Dong Sun, Dajie Jiang, Jianzhi Li · 2023
The integrated communication and sensing (ISAC) system is playing an increasingly important role in information interaction and environmental perception of smart home.In order to effectively evaluate the performance of ISAC devices, it is critical to understand the wireless channel characteristics.In this paper, the human fall motion channel at 4.9 GHz in the living room scenario is measured.A motion slice model is proposed to characterize the fall process.Based on the measured data, electromagnetic (EM) parameters of materials are calibrated.Using the calibrated ray tracing (RT) and human fall motion slice models to simulate multiple instantaneous states of the fall process.By comparing the power and phase between simulation and measurement, the feasibility of the modeling approach proposed is verified.The work of this paper can provide guidance for ISAC devices deployment of smart home, and the calibrated material EM parameters can be used for extensive simulation and modeling in living room scenarios.