Radio Map Noise Reduction Method Using Hankel Matrix for WLAN Indoor Positioning System

被引:0
作者
Ma, Lin [1 ,2 ]
Zhao, Wan [1 ,2 ]
Xu, Yubin [1 ,2 ]
Li, Cheng [3 ]
机构
[1] Harbin Inst Technol, Commun Res Ctr, Harbin, Heilongjiang, Peoples R China
[2] China Minist Publ Secur, Key Lab Police Wireless Digital Commun, Harbin, Heilongjiang, Peoples R China
[3] Mem Univ, Elect & Comp Engn, Fac Engn, St John, NF, Canada
来源
GLOBECOM 2017 - 2017 IEEE GLOBAL COMMUNICATIONS CONFERENCE | 2017年
基金
中国国家自然科学基金;
关键词
Radio Map; Noise reduction; Hankel; WLAN; Indoor positioning; ALGORITHM;
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
WLAN indoor positioning system has a wide application prospect because it is entirely based on the network infrastructure and mobile terminals which are both prevalent in our daily life without the need of additional equipment. However, indoor multipath channel, signal randomly blocking, unstable transmission power would no doubt cause interference to the propagation of signal, which introduces noise to the radio map built in the offline phase, and further degrades the positioning accuracy. Therefore, in this paper, we propose a radio map noise reduction method by using Hankel matrix. Based on the special structure of Hankel matrix, we could effectively separate the noise from the signal. We perform the noise reduction separately on each Hankel matrix coming from different signal vectors but not the entire radio map. The experiment results indicate that the proposed method could achieve better noise reduction on the radio map and contribute good positioning performance.
引用
收藏
页数:6
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