AutoLoc: Toward Ubiquitous AoA-Based Indoor Localization Using Commodity WiFi

被引:18
作者
Zhang, Xianan [1 ,2 ]
Zhang, Yu [1 ,2 ]
Liu, Guanghua [1 ,2 ]
Jiang, Tao [1 ,2 ]
机构
[1] Huazhong Univ Sci & Technol, Res Ctr 6G Mobile Commun, Sch Cyber Sci & Engn, Wuhan 430074, Peoples R China
[2] Huazhong Univ Sci & Technol, Sch Elect Informat & Commun, Wuhan 430074, Peoples R China
关键词
WiFi localization; angle of arrival (AoA); phase calibration;
D O I
10.1109/TVT.2023.3243912
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
The past decade's research in RF-based indoor localization has shown the possibility of decimeter-level accuracy based on the Angle of Arrival (AoA) of WiFi signals. However, existing systems require either recurring manual calibrations or the assistance of extra sensors to calibrate uncertain initial phases for accurate AoA estimation, hindering their large-scale deployment. In this paper, we propose AutoLoc, a ubiquitous localization system that overcomes the above limitation and can be seamlessly applied to the widely deployed WiFi Access Points. The key insight underlining AutoLoc is that the uncertain initial phase is constant once the RF oscillators are frequency locked. To this end, we propose three main innovations. First, we eliminate the uncertain initial phase while preserving the geometric information by combining Channel State Information (CSI) from different locations. Second, we introduce a cooperative confidence-aware localization algorithm that accurately localizes the target by quantifying the confidence of all possible AoA candidates. Third, we design a two-phase localization framework to fortify AutoLoc in multipath-rich scenarios. We implement AutoLoc on Commercial Off-The-Shelf WiFi devices. The experiment results in large-scale environments reveal that AutoLoc can achieve comparable median accuracy and 54% better 90% percentile accuracy compared with the state-of-the-art localization approach with manual calibration.
引用
收藏
页码:8049 / 8060
页数:12
相关论文
共 29 条
  • [1] P2SLAM: Bearing Based WiFi SLAM for Indoor Robots
    Arun, Aditya
    Ayyalasomayajula, Roshan
    Hunter, William
    Bharadia, Dinesh
    [J]. IEEE ROBOTICS AND AUTOMATION LETTERS, 2022, 7 (02) : 3326 - 3333
  • [2] Deep Learning based Wireless Localization for Indoor Navigation
    Ayyalasomayajula, Roshan
    Arun, Aditya
    Wu, Chenfeng
    Sharma, Sanatan
    Sethi, Abhishek Rajkumar
    Vasisht, Deepak
    Bharadia, Dinesh
    [J]. MOBICOM '20: PROCEEDINGS OF THE 26TH ANNUAL INTERNATIONAL CONFERENCE ON MOBILE COMPUTING AND NETWORKING (MOBICOM 2020), 2020, : 214 - 227
  • [3] BLoc: CSI-based Accurate Localization for BLE Tags
    Ayyalasomayajula, Roshan
    Vasisht, Deepak
    Bharadia, Dinesh
    [J]. CONEXT'18: PROCEEDINGS OF THE 14TH INTERNATIONAL CONFERENCE ON EMERGING NETWORKING EXPERIMENTS AND TECHNOLOGIES, 2018, : 126 - 138
  • [4] M3: Multipath Assisted Wi-Fi Localization with a Single Access Point
    Chen, Zhe
    Zhu, Guorong
    Wang, Sulei
    Xu, Yuedong
    Xiong, Jie
    Zhao, Jin
    Luo, Jun
    Wang, Xin
    [J]. IEEE TRANSACTIONS ON MOBILE COMPUTING, 2021, 20 (02) : 588 - 602
  • [5] An Enhanced Approach to Imaging the Indoor Environment Using WiFi RSSI Measurements
    Dubey, Amartansh
    Sood, Pranay
    Santos, Jehiel
    Ma, Dingfei
    Chiu, Chi-Yuk
    Murch, Ross
    [J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2021, 70 (09) : 8415 - 8430
  • [6] Phaser: Enabling Phased Array Signal Processing on Commodity WiFi Access Points
    Gjengset, Jon
    Xiong, Jie
    McPhillips, Graeme
    Jamieson, Kyle
    [J]. PROCEEDINGS OF THE 20TH ANNUAL INTERNATIONAL CONFERENCE ON MOBILE COMPUTING AND NETWORKING (MOBICOM '14), 2014, : 153 - 163
  • [7] RoArray: Towards More Robust Indoor Localization Using Sparse Recovery with Commodity WiFi
    Gong, Wei
    Liu, Jiangchuan
    [J]. IEEE TRANSACTIONS ON MOBILE COMPUTING, 2019, 18 (06) : 1380 - 1392
  • [8] Accurate WiFi Localization by Fusing a Group of Fingerprints via a Global Fusion Profile
    Guo, Xiansheng
    Li, Lin
    Ansari, Nirwan
    Liao, Bin
    [J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2018, 67 (08) : 7314 - 7325
  • [9] Predictable 802.11 Packet Delivery from Wireless Channel Measurements
    Halperin, Daniel
    Hu, Wenjun
    Sheth, Anmol
    Wetherall, David
    [J]. ACM SIGCOMM COMPUTER COMMUNICATION REVIEW, 2010, 40 (04) : 159 - 170
  • [10] Wi-Fi Fingerprint-Based Indoor Positioning: Recent Advances and Comparisons
    He, Suining
    Chan, S. -H. Gary
    [J]. IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2016, 18 (01): : 466 - 490