Evidence map›Paper›PMID 36015697›Full record

ArticleSensors (Basel, Switzerland)2022

Indoor Positioning System with UWB Based on a Digital Twin.

Ping Lou, Qi Zhao, Xiaomei Zhang, Da Li, Jiwei Hu

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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.

Ping LouSchool of Information Engineering, Wuhan University of Technology, Wuhan 430070, China.ORCID 0000-0003-4493-4668
Qi ZhaoSchool of Information Engineering, Wuhan University of Technology, Wuhan 430070, China.
Xiaomei ZhangSchool of Information Engineering, Wuhan University of Technology, Wuhan 430070, China.
Da LiSchool of Information Engineering, Wuhan University of Technology, Wuhan 430070, China.
Jiwei HuSchool of Information Engineering, Wuhan University of Technology, Wuhan 430070, China.

Funding

Application Basic Frontier Special Project of Wuhan Science and Technology Bureau 2020010601012176National Natural Science Foundation Committee of China 52075404
6 · The paper itself

Abstract

Ultra-wideband (UWB) technology is used for indoor positioning, but its positioning accuracy is usually degenerated by various obstacles in the indoor environment because of non-line-of-sight (NLOS). Facing the complex and changeable indoor environment, an indoor positioning system with UWB based on a digital twin is presented in this paper. The indoor positioning accuracy is improved with a perception-prediction feedback of cyber-physics space in this indoor positioning system. In addition, an anchor layout method with virtuality-reality interaction and an error mitigation method based on neural networks is put forward in this system. Finally, a case study is presented to validate this indoor positioning system with a significant improvement in positioning accuracy.

Indexed as

AlgorithmsNeural Networks, Computerdigital twinindoor positioning system (IPS)NLOS errorultra-wideband (UWB)

Identifiers

PMID36015697
PMCPMC9413971

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.