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RTK/Pseudolite/LAHDE/IMU-PDR 集成行人导航系统,适用于城市和室内环境。

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

机构信息

Key Laboratory of Land Environment and Disaster Monitoring, MNR, China University of Mining and Technology, Xuzhou 221116, China.

State Key Laboratory of satellite navigation system and equipment technology, 589 ZhongShan Street, Qiaoxi District Shijiazhuang 050081, China.

出版信息

Sensors (Basel). 2020 Mar 24;20(6):1791. doi: 10.3390/s20061791.

Abstract

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.

摘要

本文提出了一种实时动态(RTK)/伪卫星/地标辅助启发式漂移消除(LAHDE)/基于惯性测量单元的个人航位推算系统(IMU-PDR)集成行人导航系统,用于城市和室内环境。实时动态(RTK)技术广泛用于高精度定位,可以为基于惯性测量单元(IMU)的个人航位推算系统(PDR)提供室外定期校正。然而,在室内,全球定位系统(GPS)信号不可用,RTK 无法实现高精度定位。伪卫星可以为用户接收器提供类似于卫星的导航信号,以实现室内环境中的定位。然而,在伪卫星定位领域存在一些问题,例如室内环境中的复杂多径效应和载波相位的整数模糊度。为了避免这些因素的限制,本文提出了一种基于载波相位差的局部搜索方法,并结合 IMU-PDR 辅助,可实现更高的定位精度。此外,还引入了基于人造地标(LAHDE)的启发式漂移消除算法,以消除室内走廊中 IMU-PDR 导出的航向累积误差。开发了一个算法验证系统,以在合作场景中进行实际实验。结果表明,尽管所提出的行人导航系统必须根据不同的场景使用人类行为来切换定位算法,但它在控制多场景中的 IMU-PDR 漂移误差方面仍然有效,包括室外、室内走廊和不同人在室内房间的场景。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3f04/7147164/c1ad707db87e/sensors-20-01791-g001.jpg

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