Improved TDOA Two-Stage UWB Localization Algorithm For Indoor Mobile Robot

被引:1
|
作者
Leng, Jiajun [1 ]
Ma, Guojun [1 ]
Zhu, Jin [1 ]
Ma, Hongpeng [1 ]
机构
[1] Jiangsu Univ Sci & Technol, Sch Elect & Informat, Zhenjiang, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
Mobile Robot; Indoor Positioning; UWB; TDOA; Error Compensation;
D O I
10.1109/RASSE53195.2021.9686768
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
In order to improve the service quality of indoor mobile robots, ultra-wideband (UWB) is used as the research object, and the two-stage UWB positioning algorithm for indoor mobile robots with time difference is studied; The basic principle and error source of UWB localization algorithm based on TDOA for mobile robot are analyzed; two UWB positioning algorithms of improved time difference ranging and weighted position calculation are proposed. In the time difference ranging stage, the clock distribution measurement model and Gaussian filtering calculates the measured value of the distance difference of arrival (DDOA). In the weighted position calculation stage, the final target position coordinates are calculated according to the multiple measured values and the coordinates of the distance measuring point, which effectively reduces the time caused by the clock measurement. The static positioning is compensated separately to reduce the measurement error caused by the crystal oscillator of the hardware itself; the physical UWB module is built for experimental testing, the UWB device's ranging value is simulated, analyzed and evaluated, and the positioning accuracy is performed After the evaluation and error compensation, the two-stage UWB positioning algorithm is tested on the actual indoor robot. The experimental results show that the DDOA ranging value can be maintained within +/- 30cm based on the time difference ranging scheme, and the positioning accuracy after error compensation can meet the positioning requirements. It can be seen that the proposed two-stage UWB positioning algorithm for mobile robots without difference can meet the needs of indoor positioning, and has the advantages of low cost, low energy consumption, and high stability.
引用
收藏
页数:5
相关论文
共 50 条
  • [1] Indoor Ultrasonic Positioning System of Mobile Robot Based on TDOA Ranging and Improved Trilateral Algorithm
    Ehen, Xingqi
    Gao, Zhi
    [J]. 2017 2ND INTERNATIONAL CONFERENCE ON IMAGE, VISION AND COMPUTING (ICIVC 2017), 2017, : 923 - 927
  • [2] Two-stage UWB positioning algorithm of intelligent vehicle
    Zhu, Bing
    Tao, Xiao-Wen
    Zhao, Jian
    Ke, Min
    Wang, Zhi-Wei
    Li, Xin
    [J]. Jiaotong Yunshu Gongcheng Xuebao/Journal of Traffic and Transportation Engineering, 2021, 21 (02): : 256 - 266
  • [3] An UWB Synchronization Algorithm based on Two-stage Enveloping
    Xiao, Yan
    Wang, Zhong-Yong
    Li, Ji
    Zhang, Hui-jun
    [J]. 2014 IEEE INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, COMMUNICATIONS AND COMPUTING (ICSPCC), 2014, : 312 - 315
  • [4] A two-stage mobile robot localization method by overlapping segment-based maps
    Reina, A
    Gonzalez, J
    [J]. ROBOTICS AND AUTONOMOUS SYSTEMS, 2000, 31 (04) : 213 - 225
  • [5] Localization and Mapping Algorithm for the Indoor Mobile Robot Based on LIDAR
    Xiang, Y.
    Yang, X. Q.
    Yang, W. W.
    Miao, W. H.
    [J]. 2019 7TH INTERNATIONAL CONFERENCE ON MECHANICAL, AUTOMOTIVE AND MATERIALS ENGINEERING (CMAME), 2020, 831
  • [6] Two-Stage Localization Scheme with TDOA Measurements Using the Multidimensional Scaling Model
    Jiang, Wu-Yang
    Gui, Wen-Jing
    Chen, Xing-Jie
    Ding, Bao-Gang
    Chai, Xiao-Dong
    [J]. RESILIENCE AND SUSTAINABLE TRANSPORTATION SYSTEMS: PROCEEDINGS OF THE 13TH ASIA PACIFIC TRANSPORTATION DEVELOPMENT CONFERENCE, 2020, : 433 - 439
  • [7] Path Planning of Indoor Mobile Robot Based on Improved A* Algorithm
    Liu, Fenggang
    Qiu, Shuai
    [J]. PROCEEDINGS OF 2021 2ND INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND INFORMATION SYSTEMS (ICAIIS '21), 2021,
  • [8] UWB MultiCell Indoor Localization Experiment System with Adaptive TDOA Combination
    Zhang, Guoping
    Krishnan, Sivanand
    Chin, Francois
    Chung, Ko Chi
    [J]. 68TH IEEE VEHICULAR TECHNOLOGY CONFERENCE, FALL 2008, 2008, : 605 - 609
  • [9] An Improved Two-stage Acquisition Algorithm in DSSS
    Zhan Yunzhi
    Gan Minggang
    [J]. 2011 7TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING (WICOM), 2011,
  • [10] Indoor Localization Algorithm for TDOA Measurement in NLOS Environments
    Yu, Xiaosheng
    Wu, Chengdong
    Cheng, Long
    [J]. IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, 2014, E97A (05) : 1149 - 1152