Accurate Indoor Localization Based on CSI and Visibility Graph

Sensors

Qi Xuan¹  Zhefu Wu¹  Kai Liu¹  Lei Jiang¹  Zhuangzhuang Jiang¹  Yun Xiang¹  Bin Chen² 

[1] College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China;School of Design, Zhejiang University of Technology, Hangzhou 310023, China;

关键词: indoor localization;    CSI;    visibility graph;   

DOI  :  10.3390/s18082549

来源: DOAJ

【 摘 要 】

Passive indoor localization techniques can have many important applications. They are nonintrusive and do not require users carrying measuring devices. Therefore, indoor localization techniques are widely used in many critical areas, such as security, logistics, healthcare, etc. However, because of the unpredictable indoor environment dynamics, the existing nonintrusive indoor localization techniques can be quite inaccurate, which greatly limits their real-world applications. To address those problems, in this work, we develop a channel state information (CSI) based indoor localization technique. Unlike the existing methods, we employ both the intra-subcarrier statistics features and the inter-subcarrier network features. Specifically, we make the following contributions: (1) we design a novel passive indoor localization algorithm which combines the statistics and network features; (2) we modify the visibility graph (VG) technique to build complex networks for the indoor localization applications; and (3) we demonstrate the effectiveness of our technique using real-world deployments. The experimental results show that our technique can achieve about 96% accuracy on average and is more than 9% better than the state-of-the-art techniques.

【 授权许可】

Unknown