Classify and Prospect of Indoor Positioning and Indoor Navigation

An, Zhongfu; Sui, Hulin; Wang, Jun

doi:10.1109/imccc.2015.402

Cited by 3 publications

(1 citation statement)

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“…With mobile networks' development, people's demand for positioning and navigation has increased rapidly, especially in industrial applications with complex indoor facilities, such as intelligent power supply stations, urban underground trenches, and petrochemical plants [1]. Therefore, it has definite practical meaning to perform real-time location monitoring and tracking for moving targets in these scenarios.…”

Section: Introductionmentioning

confidence: 99%

Improved Height Estimation Using Extended Kalman Filter on UWB‐Barometer 3D Indoor Positioning System

Wang

Chen

et al. 2021

Wireless Communications and Mobile Computing

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Indoor 3D positioning system requires precise information from all three dimensions in space, but measurements in the vertical direction are usually interfered by sensors properties, unexpected obstructions, and other factors. Thus, accuracy and robustness are not guaranteed. Aiming at this problem, we propose a novel sensor fusion algorithm to improve the height estimation for a UWB-barometer integrated positioning system by introducing a pseudo reference update mechanism and the extended Kalman filter (EKF). The proposed fusion approach effectively helps with sensing noise reduction and outlier restraint. The results from numerical experiment investigations demonstrate that the accuracy and robustness of the proposed method achieved better improvement in height determination.

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Section: Introductionmentioning

confidence: 99%