Asynchronous Hyperbolic UWB Source-Localization and Self-Localization for Indoor Tracking and Navigation

被引:20
|
作者
Chiasson, David [1 ]
Lin, Yuan [1 ]
Kok, Manon [2 ]
Shull, Peter B. [1 ]
机构
[1] Shanghai Jiao Tong Univ, Sch Mech Engn, State Key Lab Mech Syst & Vibrat, Shanghai 200240, Peoples R China
[2] Delft Univ Technol, Delft Ctr Syst & Control, NL-2628 CD Delft, Netherlands
基金
中国国家自然科学基金;
关键词
Hyperbolic localization; indoor navigation; multilateration; time difference of arrivals (TDOA); ultra wideband (UWB); TIME DIFFERENCE;
D O I
10.1109/JIOT.2023.3243384
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Hyperbolic localization measures the time difference of arrivals (TDOAs) of signals to determine the location of a wireless source or receiver. Traditional methods depend on precise clock synchronization between nodes so that time measurements from independent devices can be meaningfully compared. Imperfect synchronization is often the dominant source of error. We propose two new message-based TDOA equations for hyperbolic localization which require no synchronization and meet or exceed state-of-the-art accuracy. Our approaches leverage anchor nodes that observe each other's packet arrival times and a novel reformulation of the TDOA equation to reduce the effect of clock drift error. Closed-form equations are derived for computing TDOA in both self-localization and source-localization modes of operation along with bounds on maximum clock drift error. Three experiments are performed, including a clock drift simulation, a nonline-of-sight (NLOS) simulation, and an indoor validation experiment on custom ultra wideband (UWB) hardware all of which involved eight anchor nodes and one localizing node in a 128-m(3) capture volume. Our source-localization approach achieved unprecedented accuracy with lower cost equipment and trivial setup. Our self-localization matched state-of-the-art accuracy but with infinite scalability and high privacy. These results could enable economical and infinite density indoor navigation and dramatically reduce the economic cost and increase the accuracy of implementing industrial and commercial tracking applications.
引用
收藏
页码:11655 / 11668
页数:14
相关论文
共 50 条
  • [1] Method for Direct Self-Localization of IR UWB Node(s) in Indoor Scenario
    Eric, Miljko
    Dukic, Miroslav
    Vucic, Desimir
    2011 IEEE INTERNATIONAL CONFERENCE ON ULTRA-WIDEBAND (ICUWB), 2011, : 570 - 574
  • [2] ALF: An Autonomous Localization Framework for Self-Localization in Indoor Environments
    Eckert, Juergen
    German, Reinhard
    Dressler, Falko
    2011 INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING IN SENSOR SYSTEMS AND WORKSHOPS (DCOSS), 2011,
  • [3] Asynchronous differential TDOA for sensor self-localization
    Fan, H. Howard
    Yan, Chunpeng
    2007 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL II, PTS 1-3, 2007, : 1109 - +
  • [4] MR Code for Indoor Robot Self-localization
    Zheng, Rui
    Yuan, Kui
    2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23, 2008, : 7449 - 7454
  • [5] Self-Localization of Asynchronous Wireless Nodes With Parameter Uncertainties
    Zachariah, Dave
    De Angelis, Alessio
    Dwivedi, Satyam
    Handel, Peter
    IEEE SIGNAL PROCESSING LETTERS, 2013, 20 (06) : 551 - 554
  • [6] Probabilistic self-localization and mapping - An asynchronous multirate approach
    Armesto, Leopoldo
    Ippoliti, Gianluca
    Longhi, Sauro
    Tornero, Josep
    IEEE ROBOTICS & AUTOMATION MAGAZINE, 2008, 15 (02) : 77 - 88
  • [7] Mobile Robot Self-Localization System using IR-UWB Sensor in Indoor Environments
    Segura, Marcelo J.
    Mut, Vicente A.
    Patino, Hector D.
    2009 IEEE INTERNATIONAL WORKSHOP ON ROBOTIC AND SENSORS ENVIRONMENTS (ROSE 2009), 2009, : 29 - 34
  • [8] On Self-Localization and Tracking with an Unknown Number of Targets
    Sharma, Pranay
    Saucan, Augustin-Alexandru
    Bucci, Donald J., Jr.
    Varshney, Pramod K.
    2018 CONFERENCE RECORD OF 52ND ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS, AND COMPUTERS, 2018, : 1735 - 1739
  • [9] Fast landmark tracking and localization algorithm for the mobile robot self-localization
    Yoon, KJ
    Jang, GJ
    Kim, SH
    Kweon, IS
    MOBILE ROBOT TECHNOLOGY, PROCEEDINGS, 2001, : 185 - 190
  • [10] Indoor Elliptical Localization Based on Asynchronous UWB Range Measurement
    Zhou, Yuan
    Law, Choi Look
    Guan, Yong Liang
    Chin, Francois
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2011, 60 (01) : 248 - 257