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
相关论文
共 50 条
  • [1] Radio Map Efficient Building Method Using Tensor Completion for WLAN Indoor Positioning System
    Ma, Lin
    Zhao, Wan
    Xu, Yubin
    Li, Cheng
    2018 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2018,
  • [2] Radio Map Crowdsourcing Update Method Using Sparse Representation and Low Rank Matrix Recovery for WLAN Indoor Positioning System
    Zhang, Yongliang
    Ma, Lin
    IEEE WIRELESS COMMUNICATIONS LETTERS, 2021, 10 (06) : 1188 - 1191
  • [3] Radio Map Recovery and Noise Reduction Method for Green WiFi Indoor Positioning System Based on Inexact Augmented Lagrange Multiplier Algorithm
    Ma, Lin
    Li, Jia
    Xu, Yubin
    Meng, Weixiao
    2015 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2015,
  • [4] A WLAN Planning Method for Indoor Positioning System
    Zhang, Zhaoyu
    Di, Xin
    Tian, Jun
    Chen, Pei
    2016 INTERNATIONAL CONFERENCE ON INFORMATION NETWORKING (ICOIN), 2016, : 303 - 307
  • [5] Radio-map Establishment based on Fuzzy Clustering for WLAN Hybrid KNN/ANN Indoor Positioning
    Zhou Mu
    Xu Yubin
    Ma Lin
    CHINA COMMUNICATIONS, 2010, 7 (03) : 64 - 80
  • [7] Radio map construction based on BERT for fingerprint-based indoor positioning system
    Wang, Zhuang
    Kong, Qun
    Wei, Bingcai
    Zhang, Liye
    Tian, Aikui
    EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING, 2023, 2023 (01)
  • [8] Radio map construction based on BERT for fingerprint-based indoor positioning system
    Zhuang Wang
    Qun Kong
    Bingcai Wei
    Liye Zhang
    Aikui Tian
    EURASIP Journal on Wireless Communications and Networking, 2023
  • [9] Radio map generation approaches for an RSSI-based indoor positioning system
    Sulaiman, Batoul
    Tarapiah, Saed
    Natsheh, Emad
    Atalla, Shadi
    Mansoor, Wathiq
    Himeur, Yassine
    SYSTEMS AND SOFT COMPUTING, 2023, 5
  • [10] A Method of Map Matching in Indoor Positioning
    Ruan, Fengli
    Deng, Zhongliang
    An, Qian
    Wang, Keji
    Li, Xiaoyang
    CHINA SATELLITE NAVIGATION CONFERENCE (CSNC) 2014 PROCEEDINGS, VOL III, 2014, 305 : 669 - 679