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Wireless vital radio sensor using Maximum Entropy Method

机译:使用最大熵方法的无线生命无线电传感器

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摘要

Health monitoring is an important issue in recent aging society and is especially required at-home and at care facilities. Stepped-FM UWB sensor has recently attracted considerable attention for Wireless health monitoring since it obtains range profiles which has high range resolution. In this paper, the measurement scheme using a stepped-FM UWB sensor is suggested. Also, this scheme has problem that the estimation accuracy of spectrum analysis. This paper suggests Maximum Entropy Method (MEM) for the spectrum analysis. It offers the high spectrum resolution and accuracy, although it doesn't many samples of data. We investigated the accuracy and performance by the measurements which were conducted various scenarios.
机译:在最近的老龄化社会中,健康监测是一个重要问题,尤其是在家庭和护理机构中。步进FM UWB传感器最近获得了无线健康监测的广泛关注,因为它获得了具有高范围分辨率的范围配置文件。在本文中,提出了使用步进FM UWB传感器的测量方案。另外,该方案具有频谱分析的估计精度的问题。本文提出了用于光谱分析的最大熵方法(MEM)。尽管它没有很多数据样本,但它提供了高频谱分辨率和准确性。我们通过在各种情况下进行的测量研究了准确性和性能。

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