Efficient Visible Light Sensing in Eigenspace

被引：11

作者：

Hu, Shuping ^{[1
]}

Gao, Qian ^{[1
]}

Gong, Chen ^{[1
]}

Xu, Zhengyuan ^{[1
]}

机构：

[1] Univ Sci & Technol China, Chinese Acad Sci, Key Lab Wireless Opt Commun, Hefei 230027, Anhui, Peoples R China

来源：

IEEE COMMUNICATIONS LETTERS | 2018年 / 22卷 / 05期

基金：

中国国家自然科学基金;

关键词：

Visible light sensing; likelihood-ratio test; mean spectral radius; eigenspace;

D O I：

10.1109/LCOMM.2018.2808498

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

Due to the wide deployment of light-emitting diode for indoor illumination, a secure and highly sensitive visible light sensing (VLS) technology can be adopted for situation awareness in smart building management and channel update in visible-light communication. Based on existing lighting devices, a device-free VLS system with the photodetectors on the ceiling is proposed. Since any kind of activity may lead to the change of indoor channel matrix, a real-time window matrix is constructed to sense the indoor activity, and random matrix theory is employed, where the likelihood-ratio test (LRT) and mean spectral radius (MSR) serve as the system variation indicators. We compare the average sensing error rates of LRT detection and MSR detection with that of average intensity variation detection on people movement, which show the performance gain of the proposed eigenspace detection approaches. An efficient VLS can also be used to balance the communication performance and channel update overhead.

引用

页码：994 / 997

页数：4

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