| 运动中人体信道数学模型研究 |
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| 引用本文： | 欧阳红巍,程国忠.运动中人体信道数学模型研究[J].教育技术导刊,2009,19(11):75-78. |
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| 作者姓名： | 欧阳红巍 程国忠 |
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| 作者单位： | 上海工程技术大学 电子电气工程学院，上海 201620 |
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| 基金项目： | 上海高校青年东方学者岗位计划项目（QD2017043） |
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| 摘 要： | 人体周围传感器共同组成的体域网（BAN）可实时观察并记录人体运动、休息等正常活动时生理参数的变化。对人体运动带来的信道特性变化进行分析是扩展体域网络应用的重要工作。采用两步法构建运动人体信道数学模型。通过电磁仿真得到人体跑步中连续9个动作模型数据，然后通过统计学拟合得到人体连续动作的累积分布模型。实验结果表明，人体跑步动作会改变路径增益，但不会影响信道稳定性。运动中信道增益遵循正态分布，可将衍射等效应认为是乘以变化的统计随机量。而峰值路径的出现时间总体呈逆高斯分布，为直射基频分量与高频分量叠加的结果，实务中须对此加以考虑。
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| 关 键 词： | 人体通信 时域有限差分 冲激响应 电容耦合 无线体域网 |
| 收稿时间： | 2020-03-13 |
Mathematical Model of HBC Channel in Motion |
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| WANG Zi-yang,LIAO Wei.Mathematical Model of HBC Channel in Motion[J].Introduction of Educational Technology,2009,19(11):75-78. |
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| Authors: | WANG Zi-yang LIAO Wei |
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| Institution: | School of Electronics and Electrical Engeering，Shanghai University of Engineering Science， Shanghai 201620，China |
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| Abstract: | The body area network （BAN） which is composed of sensors around the human body can observe and record the changes of physiological indexes during normal activities such as human movement and rest in real time. For the network widely used in body area， the analysis in human motion characteristic change is more important. In this paper， the mathematical model of human channel in motion is obtained by two-steps method. Through electromagnetic simulation， the data of nine continuous motion models in human running are obtained， and then the cumulative distribution model of human continuous motion is obtained by statistical fitting. The results show that human running motion can change the amplitude， but does not affect the channel stability. The channel gain in motion follows the normal distribution， and the diffraction and other effects can be considered as multiplying the variation of statistical random quantity. However， the occurrence time of peak path is inverse Gaussian distribution which is the result of superposition of direct fundamental frequency component and high frequency component， and this should be considered in real life. |
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| Keywords: | human body communication finite difference time domain impulse response capacitive coupling body area network |
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