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首页> 外文会议>IEEE International Conference on Parallel and Distributed Systems >mm- Humidity: Fine-Grained Humidity Sensing with Millimeter Wave Signals
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mm- Humidity: Fine-Grained Humidity Sensing with Millimeter Wave Signals

机译：MM湿度：用毫米波信号进行细粒湿度感应

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摘要

Atmospheric humidity is a significantly important factor in our daily lives, as it is closely bound up with agriculture, industrial production, human health and so on. Therefore, efficient and precise humidity measurement techniques are indispensable. However, the existing off-the-shelf techniques, including the dry and wet bulb hygrometer, humidity sensor as well as WiFi based detector, all fail to achieve a sensitive, accurate and convenient humidity measurement, especial for a large scale deployment. In this paper, we observe that different levels of water vapor have certain impact on millimeter wave (mmWave) signals in indoor environments. Accordingly, we propose an fine-grained environmental humidity sensing technology via wireless signals in the mmWave band. However, mmWave signals are not only sensitive to humidity, but also other environmental factors, such as oxygen. To establish a linear relationship between humidity and mm Wave signal propagation, we exploit a subspace projection technique to remove the environmental noise. Upon extracting the humidity-associated features in the noise-free signal, we utilize support vector machine (SVM) to model the humidity measurement classifier of a certain place. Extensive experiments have been conducted in different scenarios in order to verify the effectiveness of the proposed system. Results show that the average accuracy of humidity measurement is up to 85 % when the humidity interval is 3 %, and is 95 % when the humidity interval is 5%. We further show that the proposed method is very sensitive to the humidity dynamics and is 63.2 times faster compared to the traditional hygrometers.
机译：大气湿度是我们日常生活中的一个显着重要的因素，因为它与农业，工业生产，人类健康等密切关注。因此，高效且精确的湿度测量技术是必不可少的。然而，现有的现成技术，包括干燥和湿灯泡湿度计，湿度传感器以及基于WiFi的探测器，所有这些都不能实现敏感，准确和方便的湿度测量，特别是大规模部署。在本文中，我们观察到不同水平的水蒸气对室内环境中的毫米波（MMWAVE）信号有一定的影响。因此，我们通过MMWave带中的无线信号提出了一种细粒环境湿度传感技术。然而，MMWAVE信号不仅对湿度敏感，而且还对氧气等其他环境因素敏感。为了建立湿度和MM波信号传播之间的线性关系，我们利用子空间投影技术来消除环境噪声。在从无噪声信号中提取湿度相关的特征时，我们利用支持向量机（SVM）来模拟某个地方的湿度测量分类器。在不同的情况下进行了广泛的实验，以验证所提出的系统的有效性。结果表明，当湿度间隔为3 ％时，湿度测量的平均精度高达85 ％，当湿度间隔为5 ％时为95 ％。我们进一步表明，与传统湿度计相比，所提出的方法对湿度动力学非常敏感，比传统的湿度计更快63.2倍。

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