RF Sensing in the Internet of Things: A General Deep Learning Framework
RF Sensing in the Internet of Things: A General Deep Learning Framework
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DOI：
10.1109/mcom.2018.1701277
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发表时间：
2018-09
影响因子：
11.2
通讯作者：
Xuyu Wang;Xiangyu Wang;S. Mao
中科院分区：
文献类型：
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作者：
Xuyu Wang;Xiangyu Wang;S. Mao
在这篇文章中，我们提出了一个通用的物联网射频感知深度学习框架。我们首先介绍了所提出的框架，然后回顾了各种射频传感技术、深度学习技术以及典型的射频传感应用。我们将提出的框架应用于基于WiFi CSI的指纹识别、活动识别和生命体征监测，并给出了实验结果。我们以研究挑战和开放问题的讨论结束了这篇文章。
In this article, we propose a general deep learning framework for RF sensing in the IoT. We first present the proposed framework, and then review various RF sensing techniques, deep learning techniques, and canonical RF sensing applications. We apply the proposed framework to fingerprinting, activity recognition, and vital sign monitoring using WiFi CSI and present experimental results. We conclude this article with a discussion of research challenges and open problems.