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Impact of Measurement Points Distribution on the Parameters of UWB Implant Channel Model

机译:测量点分布对UWB植入频道模型参数的影响

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Sophisticated medical implants that allow vital information delivery to/from the human body are opening the door to novel approaches in diagnosis and/or therapy of various health related issues. Ultra-Wide Band (UWB) technology is gaining the attention of researchers as a possible candidate for implant communication due to its high data rate and low power consumption capabilities. Characterization of a propagation channel often involves a measurement campaign (either virtual or physical) and selecting a set of candidate test points (i.e. sample measurement points) through which numerical values of the desired signal at the receiver are collected. Statistical analysis of those data will lead to a channel model representing the communication link. Focusing on UWB implant channel characterization, this paper aims to highlight the potential impact of the measurement points location distribution on the extracted parameters of the channel model. This is achieved through emulating a custom-design multi-layer liquid phantom measurement system and performing a sequence of matching simulations with different sample point distributions. The results are meant to serve as a guideline for future UWB implant measurement campaigns.
机译:精致的医疗植入物,允许从人体传递到/来自人体的重要信息,在各种健康相关问题的诊断和/或治疗方面的新​​方法打开门。超宽带(UWB)技术正在获得研究人员作为植入性通信的可能候选者的注意,由于其高数据速率和低功耗能力。传播信道的表征通常涉及测量活动(虚拟或物理)并选择一组候选测试点(即采样测量点),通过该候选测试点(即,采样测量点)通过该候选者的期望信号的数值。对这些数据的统计分析将导致代表通信链路的频道模型。专注于UWB植入频道表征,本文旨在突出测量点定位分布对信道模型提取参数的潜在影响。这是通过模拟定制设计的多层液体模型测量系统来实现的,并执行具有不同样本点分布的匹配模拟序列。结果旨在作为未来UWB植入性测量运动的指导。

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