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Characteristic and Modeling of Human Body Motions for Body Area Network Applications

机译:人体局域网络中人体运动的特征与建模

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摘要

Many current and future medical devices are wearable and human body is used as a carrier for wireless communication, which implies human body to be a crucial part of the transmission medium in body area networks (BANs). In order to understand the propagation characteristics around human body, the statistical model is derived for communication links in the medical implant communication service band, industrial scientific medical band and ultra-wideband based on the narrowband measurement. The channel model of diffracting components around human body were different from one scenario to another. Moreover, second order statistics, including level crossing rate and fade duration, are presented for each scenario to evaluate the link quality and outage performance for on-body to on-body scenario. Using a network analyzer, Doppler spread spectrum in frequency domain and coherence time in time domain from temporal variations of human body movements are also analyzed from diverse perspectives. Additionally, the shape of Doppler spread spectrum is fitted to describe the relationship of power and frequency. The proposed on-body to on-body channel model for human body motions can be used to better design wireless network protocols for BANs.
机译:当前和将来的许多医疗设备都是可穿戴的,并且人体被用作无线通信的载体,这意味着人体是人体局域网(BAN)中传输介质的关键部分。为了了解人体周围的传播特性,基于窄带测量,推导了医学植入通信服务频段,工业医学医疗频段和超宽带中的通信链路的统计模型。人体周围的衍射成分的通道模型因一种情况而异。此外,针对每种场景,提供了包括阶跃穿越速率和衰落持续时间在内的二阶统计信息,以评估人体到人体场景的链路质量和中断性能。使用网络分析仪,还从不同角度分析了人体运动随时间变化的频域多普勒扩展频谱和时域相干时间。另外,多普勒扩展频谱的形状适合描述功率和频率的关系。提议的人体运动的人体到人体通道模型可用于更好地设计BAN的无线网络协议。

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