A hybrid indoor positioning system based on UWB and inertial navigation

He, Kai; Zhang, Yueyue; Zhu, Yaping; Xia, Weiwei; Jia, Zhiwei; Shen, Lianfeng

doi:10.1109/wcsp.2015.7341240

Cited by 12 publications

(6 citation statements)

References 10 publications

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“…And terminal-side hybrid locations with WiFi, Bluetooth, or other RF location systems are not precluded to improve the poor precision of wireless location in cellular network [19,20]. Besides, the assistant positioning technologies of terminal-side equipment like inertial navigation and better filtering algorithms of tracking will be good for location estimation and prediction [21].…”

Section: Test Resultsmentioning

confidence: 99%

A Wireless Location System in LTE Networks

Liu

2017

Mobile Information Systems

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Personal location technologies are becoming important with the rapid development of Mobile Internet services. In traditional cellular networks, the key problems of user location technologies are high-precision synchronization among different base stations, inflexible processing resources, and low accuracy positioning, especially for indoor environment. In this paper, a new LTE location system in Centralized Radio Access Network (C-RAN) is proposed, which makes channel and location measurement more available, allocation of baseband processing resources more flexible, and location service capability opening. The location system contains more than two antenna clusters, and each of them gets time-difference-of-arrival (TDOA) of sounding reference signals (SRSs) from different antennas. Then, based on data provided by location measurement units (LMUs), the location information server calculates TDOAs and derives the users’ position. Furthermore, a new location algorithm is raised which can achieve distributed antennas collaboration and centralized location computing. And an improved optimized algorithm with the best TDOA selection is proposed. Finally, simulations are given out to verify the efficiency of the proposed algorithm in this LTE location system.

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Section: Test Resultsmentioning

confidence: 99%

A Wireless Location System in LTE Networks

Liu

2017

Mobile Information Systems

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“…A hybrid indoor localization mechanism was adopted by Su et al [20] based on combining both Bluetooth (BLE) and WLAN technologies. He et al [21] proposed a linear regression matrix model that combined both ultrawide band (UWB) technology and DR technology. A multipronged indoor positioning approach was adopted by Kim et al [22] to combine WLAN technology, cellular network technology, and magnetic field technology.…”

Section: Related Workmentioning

confidence: 99%

A Hybrid Indoor Positioning Model for Critical Situations Based on Localization Technologies

Mahdi

Chalechale

AbdelRaouf

2022

Mobile Information Systems

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The domains of positioning and tracking have undergone substantial evolution and advancements recently, especially within the concept of the Internet of Things (IoT) and in health care. Unfortunately, neither the current satellite positioning systems nor the standalone cellular systems remain useful for successfully localizing and tracking inside buildings. This paper proposes a new model that could improve the accuracy of localization in indoor environments. In addition, a broad review is conducted to discover the state-of-the-art indoor localization technologies appropriate for disasters and rescue situations. After a comprehensive study, three important technologies that need to be deeply reviewed are identified, which are wireless local area network (WLAN), dead reckoning (DR), and hybrid approaches. Based on these, a novel architecture is introduced that is more convenient to meet the operation of rescuing injured or older people in critical situations, where other technologies might be unavailable or require some extra infrastructures. The proposed model has two modes and selects one of these modes automatically. The first mode assumes the existence of both WLAN signals and smartphone sensors to be used for identifying the position of the object; otherwise, only smartphone sensors will be employed to achieve positioning. Significantly, the designated components and the flow control depicted provide a proper and suitable horizon for the next researchers who desire to develop a new indoor positioning system in this discipline with a low positioning root-mean-squared error on the centimeter scale that can later be incorporated in numerous applications relating to the IoT, health care, and evacuation plans.

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“…The infrastructure-based methods combine UWB [9], WiFi [10], Bluetooth, and other technologies. However, these technologies rely on supporting infrastructure, which entails timeconsuming, laborious, and costly large-scale facility installations [11].…”

Section: Introductionmentioning

confidence: 99%

An Indoor 3D Positioning Method Using Terrain Feature Matching for PDR Error Calibration

Chen,

Xie,

Zhou

et al. 2024

Preprint

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Pedestrian Dead Reckoning (PDR) is a promising algorithm for indoor positioning. However, the accuracy of PDR degrades due to the accumulated error, especially in multi-floor buildings. This paper introduces a three-dimensional (3D) positioning method based on terrain feature matching to reduce the influence of accumulated error in multi-floor scene. The proposed method involves two steps: motion pattern recognition and position matching calibration. The motion pattern recognition aims to detect different motion states, i.e., taking the stairs or horizontal walking, from the streaming data. Then, stair entrances and corridor corners are matched with transition points of motion states and pedestrian turning points, respectively. After matching, calibration is performed to eliminate the accumulated errors. By carrying out experiments on a two-floor closed-loop path with a walking distance about 145 m, it is shown that this method can effectively reduce the accumulated error of PDR , achieving accurate 3D positioning . The average error is reduced from 6.60 m to 1.83 m.

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A hybrid indoor positioning system based on UWB and inertial navigation

Cited by 12 publications

References 10 publications

A Wireless Location System in LTE Networks

A Wireless Location System in LTE Networks

A Hybrid Indoor Positioning Model for Critical Situations Based on Localization Technologies

An Indoor 3D Positioning Method Using Terrain Feature Matching for PDR Error Calibration

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