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Research on IMU-Assisted UWB-Based Positioning Algorithm in Underground Coal Mines
The application of an ultra-wideband (UWB) positioning system in a Global Positioning System (GPS) denial environment such as an underground coal mine, mainly focuses on position information and rarely involves information such as direction attitude. Position accuracy is often affected by multipath,...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10384321/ https://www.ncbi.nlm.nih.gov/pubmed/37512792 http://dx.doi.org/10.3390/mi14071481 |
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author | Wang, Lei Zhang, Shangqi Qi, Junyan Chen, Hongren Yuan, Ruifu |
author_facet | Wang, Lei Zhang, Shangqi Qi, Junyan Chen, Hongren Yuan, Ruifu |
author_sort | Wang, Lei |
collection | PubMed |
description | The application of an ultra-wideband (UWB) positioning system in a Global Positioning System (GPS) denial environment such as an underground coal mine, mainly focuses on position information and rarely involves information such as direction attitude. Position accuracy is often affected by multipath, non-visible ranges, base station layout, and more. We proposed an IMU-assisted UWB-based positioning system for the provision of positioning and orientation services to coal miners in underground mines. The Error-State Kalman Filter (ESKF) is used to filter the errors in the measured data from the IMU-assisted UWB positioning system to obtain the best estimate of the error for the current situation and correct for inaccuracies due to approximations. The base station layout of the IMU-assisted UWB positioning system was also simulated. The reasonable setting of the reference base station location can suppress multi-access interference and improve positioning accuracy to a certain extent. Numerous simulation experiments have been conducted in GPS denial environments, such as underground coal mines. The experimental results show the effectiveness of the method for determining the position, direction, and attitude of the coal miner under the mine, which provides a better reference value for positioning and orientation in a GPS rejection environment such as under the mine. |
format | Online Article Text |
id | pubmed-10384321 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-103843212023-07-30 Research on IMU-Assisted UWB-Based Positioning Algorithm in Underground Coal Mines Wang, Lei Zhang, Shangqi Qi, Junyan Chen, Hongren Yuan, Ruifu Micromachines (Basel) Communication The application of an ultra-wideband (UWB) positioning system in a Global Positioning System (GPS) denial environment such as an underground coal mine, mainly focuses on position information and rarely involves information such as direction attitude. Position accuracy is often affected by multipath, non-visible ranges, base station layout, and more. We proposed an IMU-assisted UWB-based positioning system for the provision of positioning and orientation services to coal miners in underground mines. The Error-State Kalman Filter (ESKF) is used to filter the errors in the measured data from the IMU-assisted UWB positioning system to obtain the best estimate of the error for the current situation and correct for inaccuracies due to approximations. The base station layout of the IMU-assisted UWB positioning system was also simulated. The reasonable setting of the reference base station location can suppress multi-access interference and improve positioning accuracy to a certain extent. Numerous simulation experiments have been conducted in GPS denial environments, such as underground coal mines. The experimental results show the effectiveness of the method for determining the position, direction, and attitude of the coal miner under the mine, which provides a better reference value for positioning and orientation in a GPS rejection environment such as under the mine. MDPI 2023-07-24 /pmc/articles/PMC10384321/ /pubmed/37512792 http://dx.doi.org/10.3390/mi14071481 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Communication Wang, Lei Zhang, Shangqi Qi, Junyan Chen, Hongren Yuan, Ruifu Research on IMU-Assisted UWB-Based Positioning Algorithm in Underground Coal Mines |
title | Research on IMU-Assisted UWB-Based Positioning Algorithm in Underground Coal Mines |
title_full | Research on IMU-Assisted UWB-Based Positioning Algorithm in Underground Coal Mines |
title_fullStr | Research on IMU-Assisted UWB-Based Positioning Algorithm in Underground Coal Mines |
title_full_unstemmed | Research on IMU-Assisted UWB-Based Positioning Algorithm in Underground Coal Mines |
title_short | Research on IMU-Assisted UWB-Based Positioning Algorithm in Underground Coal Mines |
title_sort | research on imu-assisted uwb-based positioning algorithm in underground coal mines |
topic | Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10384321/ https://www.ncbi.nlm.nih.gov/pubmed/37512792 http://dx.doi.org/10.3390/mi14071481 |
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