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.
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页数:21
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