基于细粒度指纹的室内定位系统  

Fine-Grained Fingerprint-Based Indoor Localization System

作　　者：田熙燕[1] 杜留锋[2] TIAN Xiyan;DU Liufeng(School of Mechanical and Electrical Engineering, Henan Institute of Science and Technology, Xinxiang 453003, Henan Province, China;College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China)

机构地区：[1]河南科技学院机电学院,河南新乡453003 [2]南京邮电大学通信与信息工程学院,南京210003

出　　处：《应用科学学报》2019年第3期313-326,共14页Journal of Applied Sciences

基　　金：国家自然科学基金(No.51375149);河南联合基金(No.U1304112);河南科技学院“标志性创新工程”计划基金资助

摘　　要：为提高室内定位系统的精度和稳定性,提出了一种基于Wi-Fi信道状态信息(channel state information, CSI)的指纹定位技术. CSI通过子载波表征了细粒度的信道信息,能更好地对抗室内多径效应等干扰.在此基础上,借助矩阵完备理论实现了一种高效、精确的指纹库构建方案;借助贝叶斯准则实现了稳定、实时的在线指纹匹配.两个室内场景的实地测评表明,所提方案在指纹库构建精度以及定位性能方面均达到了预期目标.To improve the accuracy and stability of the indoor localization system, this paper proposes a fingerprinting positioning technique based on Wi-Fi channel state information(CSI). The CSI characterizes fine-grained channel information through subcarriers,which can better eliminate interferences such as multipath effect. Based on the CSI, an efficient and accurate construction scheme for fingerprints database is achieved with the matrix completion theory, and a stable and real-time fingerprint matching method is implemented with the Bayesian rule. The field evaluation results in two scenarios show that the proposal achieves the desired goals in terms of both fingerprints database construction accuracy and localization performance.

关 键 词：室内定位 信道状态信息 矩阵完备 贝叶斯准则 

分 类 号：P751.1[交通运输工程—港口、海岸及近海工程]