A new radio propagation model at 2.4 GHz for wireless medical body sensors in outdoor environment
A new radio propagation model at 2.4 GHz for wireless medical body sensors in outdoor environment
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用于室外环境中无线医疗人体传感器的 2.4 GHz 新型无线电传播模型
DOI：
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发表时间：
2013
期刊：
影响因子：
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通讯作者：
Daniel S. Yang
中科院分区：
文献类型：
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作者：
Daniel S. Yang
本研究探讨了天线高度、接收天线在人体上的位置以及发射器和接收器之间的距离对无线信号功率损耗的影响，以建立无线人体传感器的无线传播模型。虽然许多研究着眼于距离的影响，但很少有研究系统地调查天线高度和天线放置对人体的影响。发射天线高度为1米、2米和3米，接收天线高度为1米和1.65米，接收天线的“在体”和“离体”放置，以及从1米到45米的总共11个距离都进行了与接收功率（dBm）相关的测试。采用多元回归方法对数据进行分析。通过比较变量的p值与α检验变量的显著性，并使用调整后的R2和残差s评估模型拟合。研究发现，天线高度的增加会增加功率，但仅限于发射天线。接收天线高度在身体上的情况下具有令人惊讶的相反效果，并且在离体情况下具有不显著的效果。为了形式化的传播模型，从多元回归系数值被纳入对数距离模型的扩展，以产生一个新的经验模型的身体和身体外的情况下，和新的经验模型可以想象被用来设计更可靠的医疗身体传感器的无线链路。
This study investigates the effect of antenna height, receive antenna placement on human body, and distance between transmitter and receiver on the loss of wireless signal power in order to develop a wireless propagation model for wireless body sensors. Although many studies looked at the effect of distance, few studies were found that investigated methodically the effect of antenna height and antenna placement on the human body. Transmit antenna heights of 1, 2, and 3 meters, receive antenna heights of 1 and 1.65 meters, “on-body” and “off-body” placements of receive antenna, and a total of 11 distances ranging from 1 to 45 meters are tested in relation to received power in dBm. Multiple regression is used to analyze the data. Significance of a variable is tested by comparing its p-value with alpha, and model fit is assessed using adjusted R2 and s of residuals. It is found that an increase in antenna height would increase power-but only for transmit antenna. The receive antenna height has a surprising, opposite effect in the on-body case and an insignificant effect in the off-body case. To formalize the propagation model, coefficient values from multiple regression are incorporated in an extension of the log-distance model to produce a new empirical model for on-body and off-body cases, and the new empirical model could conceivably be utilized to design more reliable wireless links for medical body sensors.