A Radio Tomographic Imaging Method using Channel State Information and Image Fusion

被引：0
|
作者：
Sun, Cheng [1 ]
Gao, Fei [1 ]
Liu, Heng [1 ]
Xu, Shengxin [1 ]
An, Jianping [1 ]
机构：
[1] Beijing Inst Technol, Sch Informat & Elect, Beijing 100081, Peoples R China
来源：
2018 8TH INTERNATIONAL CONFERENCE ON ELECTRONICS INFORMATION AND EMERGENCY COMMUNICATION (ICEIEC) | 2018年
基金：
中国国家自然科学基金;
关键词：
channel state information; radio tomographic imaging; image fusion; eigenvectors and eigenfunctions; kernel distance;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Indoor radio tomographic imaging (RTI) is a cuttingedge technology, which could reconstruct the cross-sectional image of an object within the monitored area. It builds imaging procedure by analyzing the effects of objects on surrounding wireless signals. Channel state information (CSI) provides the amplitude and phase information on each sub-carrier for every transmit-receive antenna pairs. Compared with received signal strength (RSS), CSI could provide finer-grained and abundant channel measurements. In this paper, we propose a CSI-RTI system. Specifically, we separately analyze the amplitude and phase information of CSI to get the influence mechanism of the person on them, and then a CSI mixed imaging approach is proposed to construct an image on each antenna pair. Finally, we propose a wireless indoor imaging scheme based on image fusion to deal with the situation of multiple antenna pairs. Experimental results are compared with the RSS-based radio tomographic imaging approach, the imaging accuracy and localization performance have been improved.
引用
收藏
页码：223 / 227
页数：5
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