Evidence map›Paper›PMID 37512792›Full record

ArticleMicromachines2023

Research on IMU-Assisted UWB-Based Positioning Algorithm in Underground Coal Mines.

Lei Wang, Shangqi Zhang, Junyan Qi, Hongren Chen, Ruifu Yuan

Abstract read
In one paragraph

Article in Micromachines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Lei WangSchool of Computer Science and Technology, Henan Polytechnic University, Jiaozuo 454000, China.
Shangqi ZhangSchool of Computer Science and Technology, Henan Polytechnic University, Jiaozuo 454000, China.ORCID 0000-0001-6882-6560
Junyan QiSchool of Software, Henan Polytechnic University, Jiaozuo 454000, China.
Hongren ChenSchool of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454000, China.
Ruifu YuanSchool of Energy Science and Engineering, Henan Polytechnic University, Jiaozuo 454000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

ESKFMEMS IMUshearerUWB positioning system

Identifiers

PMID37512792
PMCPMC10384321

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.