A Novel Ultra-Wideband Double Difference Indoor Positioning Method with Additional Baseline Constraint

被引:9
作者
Zhao, Yinzhi [1 ,2 ]
Zou, Jingui [1 ]
Guo, Jiming [1 ]
Huang, Gege [3 ]
Cai, Lixian [1 ]
机构
[1] Wuhan Univ, Sch Geodesy & Geomat, Wuhan 430072, Peoples R China
[2] Beijing Key Lab Urban Spatial Informat Engn, Beijing 100038, Peoples R China
[3] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430072, Peoples R China
基金
中国国家自然科学基金;
关键词
ultra-wideband; indoor positioning; errors; double difference; baseline constraint; UWB; LOCALIZATION; SYSTEM; IDENTIFICATION;
D O I
10.3390/ijgi10100634
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Ultra-wideband (UWB) technology is suitable for indoor positioning owing to its high resolution and penetration. However, the current UWB positioning methods not only fail to fully analyze errors, but do not have the ability to eliminate gross and large random errors. In this article, the errors of UWB indoor positioning are analyzed comprehensively, and the basic function model is given. An indoor positioning method based on a double difference UWB with ranging observations is proposed and realized. In the proposed method, two UWB rover stations and a common base station are introduced, and the known baseline length between two rovers is used as the constraint condition for quality control. The observations and coordinate estimations are constrained by the prior and posteriori, respectively, and the weight of ranging observations with large residuals is reduced. Two groups of static experiments are designed. After adopting the proposed method, the plane error of one rover is 3.4 cm and 2.1 cm, and plane error of another rover is 3.3 cm and 2.0 cm, respectively. The positioning precision is improved by more than 80% compared with the traditional method. In the dynamic experiment, the coordinates of the starting and ending point obtained by the proposed method are basically consistent with the truth value, and the positioning results are close to the reference trajectory. The experimental results show that the proposed method can eliminate systematic and large random errors and improve the positioning precision effectively.
引用
收藏
页数:20
相关论文
共 41 条
  • [31] Graph-Optimization-Based ZUPT/UWB Fusion Algorithm
    Wang, Yan
    Li, Xin
    [J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2018, 7 (01)
  • [32] The IMU/UWB Fusion Positioning Algorithm Based on a Particle Filter
    Wang, Yan
    Li, Xin
    [J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2017, 6 (08):
  • [33] An Automated Real-Time Localization System in Highway and Tunnel Using UWB DL-TDoA Technology
    Wen, Long
    Han, Jinkun
    Song, Liangliang
    Zhang, Qi
    Li, Kai
    Li, Zhi
    Zhang, Weimin
    Zhang, Beihai
    You, Xin
    Sung, Yunsick
    Ji, Sumi
    Song, Wei
    [J]. WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2020, 2020 (2020)
  • [34] An Improved PSO Localization Algorithm for UWB Sensor Networks
    Xia, Bin
    Liu, Tao
    Ding, Tian
    Wang, ZhiQiang
    [J]. WIRELESS PERSONAL COMMUNICATIONS, 2021, 117 (03) : 2207 - 2223
  • [35] A Novel NLOS Error Compensation Method Based IMU for UWB Indoor Positioning System
    Yang, Xiaofei
    Wang, Jun
    Song, Dapeng
    Feng, Beizhen
    Ye, Hui
    [J]. IEEE SENSORS JOURNAL, 2021, 21 (09) : 11203 - 11212
  • [36] Yin H., 2016, P IEEE INT C COMM SY
  • [37] A Novel NLOS Mitigation Algorithm for UWB Localization in Harsh Indoor Environments
    Yu, Kegen
    Wen, Kai
    Li, Yingbing
    Zhang, Shuai
    Zhang, Kefei
    [J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2019, 68 (01) : 686 - 699
  • [38] Robustly Adaptive EKF PDR/UWB Integrated Navigation Based on Additional Heading Constraint
    Yuan, Debao
    Zhang, Jian
    Wang, Jian
    Cui, Ximin
    Liu, Fei
    Zhang, Yalei
    [J]. SENSORS, 2021, 21 (13)
  • [39] A phase-difference-of-arrival assisted ultra-wideband positioning method for elderly care
    Zhang, Yan
    Duan, Linfu
    [J]. MEASUREMENT, 2021, 170
  • [40] UWB/INS Integrated Pedestrian Positioning for Robust Indoor Environments
    Zhang, Yuan
    Tan, Xinglong
    Zhao, Changsheng
    [J]. IEEE SENSORS JOURNAL, 2020, 20 (23) : 14401 - 14409