基于dnn的基于IEEE 802.11ac WLAN信号的室外NLOS人体检测

R. Takahashi, S. Ishida, Akira Fukuda, T. Murakami, S. Otsuki
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引用次数: 10

摘要

近年来,基于WLAN的无线传感技术以其低廉的部署成本成为人们关注的焦点。在我们之前的工作[1]中,我们已经提出了一种使用IEEE802.11ac通道状态信息(CSI)用于视距(LOS)场景的户外人体探测器。在本文中,我们扩展了之前的工作,并提出了一个基于csi的户外非视线(NLOS)场景的人体检测系统。关键思想是利用多个设备检索到的CSI,并利用主成分分析(PCA)提取关键特征进行传感,以避免检测性能不稳定。实验评估表明,我们的NLOS场景人体检测系统使用4个WLAN站点成功定位人类,准确率为99.58%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DNN-based Outdoor NLOS Human Detection Using IEEE 802.11ac WLAN Signal
Recently, WLAN-based wireless sensing technologies, which utilize WLAN devices widely used in many environments, have been focused because of their low deployment cost. We have presented an outdoor human detector using IEEE802.11ac channel state information (CSI) for line-of-sight (LOS) scenarios in our previous work [1]. In this paper, we extend our previous work and present a CSI-based human detection system for outdoor non-line-of-sight (NLOS) scenarios. The key idea is to utilize CSI retrieved by multiple devices and extracted key features using principal component analysis (PCA) for sensing to avoid unstable detection performance. Experimental evaluations revealed that our human detection system for NLOS scenarios successfully located a human with an accuracy of 99.58 % using four WLAN stations.
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