Dynamic Channel Modeling and Characteristic Analysis of Wearable Human Body Communication System

Abstract

Clarifying the influence of human limb movement on human channel characteristics is the basis for realizing wearable human communication system. However, the existing static human channel model is challenging to simulate the occlusion effect, reflection effect, and return loop parasitic capacitance caused by continuous limb changes. Given the above problems, this paper mainly conducts dynamic channel modelling and characteristic analysis of wearable human body communication systems. A dynamic channel model of the wearable human body communication system is established. The influence of parasitic capacitance in the finite element model of the wearable human body communication system is eliminated by electrode model optimization and capacitance loop parameter adjustment. On this basis, the dynamic characteristics of the human body communication channel under different attitude conditions are simulated and verified by physical experiments. The experimental results show that the simulation results based on the established model agree with the physical experimental results. At the same time, the swing arm movement during walking/running will produce an attenuation change of 4 dB on the human body channel, and the path loss increases with the increase of the arm swing amplitude. These results lay a foundation for designing and applying wearable human body communication systems for health monitoring, etc.