RTK/Pseudolite/LAHDE/IMU-PDR Integrated Pedestrian Navigation System for Urban and Indoor Environments

被引:10
|
作者
Zhu, Ruihui [1 ,2 ]
Wang, Yunjia [1 ]
Cao, Hongji [1 ]
Yu, Baoguo [2 ]
Gan, Xingli [2 ]
Huang, Lu [2 ]
Zhang, Heng [2 ]
Li, Shuang [2 ]
Jia, Haonan [2 ]
Chen, Jianqiang [2 ]
机构
[1] China Univ Min & Technol, Key Lab Land Environm & Disaster Monitoring, MNR, Xuzhou 221116, Jiangsu, Peoples R China
[2] State Key Lab Satellite Nav Syst & Equipment Tech, 589 ZhongShan St, Shijiazhuang 050081, Hebei, Peoples R China
关键词
RTK; pseudolite; landmarks; carrier phase difference; IMU-PDR; urban and indoor navigation;
D O I
10.3390/s20061791
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
This paper presents an evaluation of real-time kinematic (RTK)/Pseudolite/landmarks assistance heuristic drift elimination (LAHDE)/inertial measurement unit-based personal dead reckoning systems (IMU-PDR) integrated pedestrian navigation system for urban and indoor environments. Real-time kinematic (RTK) technique is widely used for high-precision positioning and can provide periodic correction to inertial measurement unit (IMU)-based personal dead reckoning systems (PDR) outdoors. However, indoors, where global positioning system (GPS) signals are not available, RTK fails to achieve high-precision positioning. Pseudolite can provide satellite-like navigation signals for user receivers to achieve positioning in indoor environments. However, there are some problems in pseudolite positioning field, such as complex multipath effect in indoor environments and integer ambiguity of carrier phase. In order to avoid the limitation of these factors, a local search method based on carrier phase difference with the assistance of IMU-PDR is proposed in this paper, which can achieve higher positioning accuracy. Besides, heuristic drift elimination algorithm with the assistance of manmade landmarks (LAHDE) is introduced to eliminate the accumulated error in headings derived by IMU-PDR in indoor corridors. An algorithm verification system was developed to carry out real experiments in a cooperation scene. Results show that, although the proposed pedestrian navigation system has to use human behavior to switch the positioning algorithm according to different scenarios, it is still effective in controlling the IMU-PDR drift error in multiscenarios including outdoor, indoor corridor, and indoor room for different people.
引用
收藏
页数:21
相关论文
共 39 条
  • [31] Online cubature Kalman filter Rauch-Tung-Striebel smoothing for indoor inertial navigation system/ultrawideband integrated pedestrian navigation
    Xu, Yuan
    Chen, Xiyuan
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING, 2018, 232 (04) : 390 - 398
  • [32] An Integrated GPS and Multi-Sensor Pedestrian Positioning System for 3D Urban Navigation
    Chen, Wei
    Fu, Zhongqian
    Chen, Ruizhi
    Chen, Yuwei
    Andrei, Octavian
    Kroger, Tuomo
    Wang, Jianyu
    2009 JOINT URBAN REMOTE SENSING EVENT, VOLS 1-3, 2009, : 1314 - +
  • [33] LiDAR-aided Integrated INS/GPS Navigation System for Unmanned Ground Vehicles in Urban and Indoor Environments Using Hybrid Adaptive Scan Matching Algorithm
    Liu, Shifei
    Atia, Mohamed M.
    Karamat, Tashfeen B.
    Noureldin, Aboelmagd
    Givigi, Sidney
    PROCEEDINGS OF THE 28TH INTERNATIONAL TECHNICAL MEETING OF THE SATELLITE DIVISION OF THE INSTITUTE OF NAVIGATION (ION GNSS+ 2015), 2015, : 2311 - 2318
  • [34] Multi-GNSS PPP/INS/Vision/LiDAR tightly integrated system for precise navigation in urban environments
    Li, Shengyu
    Li, Xingxing
    Wang, Huidan
    Zhou, Yuxuan
    Shen, Zhiheng
    INFORMATION FUSION, 2023, 90 : 218 - 232
  • [35] High-Precision Positioning and Mapping using Feature-based RTK/LiDAR/INS Integrated System for Urban Environments
    Li, Wenyi
    Cui, Xiaowei
    Lu, Mingquan
    PROCEEDINGS OF THE 33RD INTERNATIONAL TECHNICAL MEETING OF THE SATELLITE DIVISION OF THE INSTITUTE OF NAVIGATION (ION GNSS+ 2020), 2020, : 2628 - 2640
  • [36] Real-Time Graph-Based Optimization for GNSS-Doppler Integrated RTK-GNSS/IMU/DR Positioning System in Urban Area
    Takanose, Aoki
    Takeuchi, Eijiro
    Carballo, Alexander
    Meguro, Junichi
    Takeda, Kazuya
    2023 IEEE INTELLIGENT VEHICLES SYMPOSIUM, IV, 2023,
  • [37] Feature-Aided RTK/LiDAR/INS Integrated Positioning System with Parallel Filters in the Ambiguity-Position-Joint Domain for Urban Environments
    Li, Wenyi
    Liu, Gang
    Cui, Xiaowei
    Lu, Mingquan
    REMOTE SENSING, 2021, 13 (10)
  • [38] A Novel Fault Detection and Exclusion Method for Applying Low-Cost INS/GNSS Integrated Navigation System in Urban Environments
    Zhao, Hongbo
    Yang, Zhe
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2025, 26 (01) : 143 - 156
  • [39] A Novel Navigation Method Fusing Multiple Constraint for Low-Cost INS-GNSS Integrated System in Urban Environments
    Yang, Zhe
    Zhao, Hongbo
    Yang, Xu
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2024, 73 (06) : 7616 - 7629