About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
Machine Learning and Intelligent Communications. Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part I

Research Article

WLAN Indoor Localization Using Angle of Arrival

Download(Requires a free EAI acccount)
627 downloads
Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-319-73564-1_12,
        author={Zengshan Tian and Yong Li and Mu Zhou and Yinghui Lian},
        title={WLAN Indoor Localization Using Angle of Arrival},
        proceedings={Machine Learning and Intelligent Communications. Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part I},
        proceedings_a={MLICOM},
        year={2018},
        month={2},
        keywords={Indoor localization Wi-Fi CFR AoA},
        doi={10.1007/978-3-319-73564-1_12}
    }
    
  • Zengshan Tian
    Yong Li
    Mu Zhou
    Yinghui Lian
    Year: 2018
    WLAN Indoor Localization Using Angle of Arrival
    MLICOM
    Springer
    DOI: 10.1007/978-3-319-73564-1_12
Zengshan Tian1,*, Yong Li1,*, Mu Zhou1,*, Yinghui Lian1,*
  • 1: Chongqing University of Posts and Telecommunications
*Contact email: tianzs@cqupt.edu.cn, ly94ong@163.com, zhoumu@cqupt.edu.cn, lianyinghui321@foxmail.com

Abstract

With the development of information technology and the rising of demanding for location-based services, indoor localization has obtained great attentions. Accurate estimation of Angle of Arrival (AoA) of signals make it possible to achieve a high precision location. So as to resolve multipath signals effectively and then extract AoA of the direct path, in this paper we first use the existing three-antenna commercial Wi-Fi Network Interface Card (NIC) to collect radio Channel Frequency Response (CFR) measurements and then jointly estimate AoA and Time of Arrival (ToA). Second, we propose a sensing algorithm to distinguish Line-of-Sight (LoS) and Non-Line-of-Sight (NLoS) propagation and therefore obtain finer localization. Our experiments in a rich multipath indoor environment show that the AoA-based the proposed localization system can achieve a median accuracy of 0.8 m and 1.3 m in LoS environment and NLoS environment, respectively.

Keywords
Indoor localization Wi-Fi CFR AoA
Published
2018-02-09
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-319-73564-1_12
Copyright © 2017–2025 EAI
EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL