Evidence map›Paper›PMID 40634588›Full record

ArticleScientific reports2025

UWB electronic positioning error suppression method based on residual weighting.

Lin Yang, Bolong Chen, Zhiwei Cao

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Lin YangWuhan Electric Power Technical College, Hubei, 430079, China.
Bolong ChenCollege of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, 150001, China. chenbolonghrbeu@163.com.
Zhiwei CaoChangchuan Technology Co., Ltd., Hangzhou, 150028, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the process of construction and operation of electric power facilities, manual inspection is unavoidable, but security incidents happen occasionally. To ensure the safety of workers, ultrawide-band (UWB) positioning technology can be used to locate workers in real time. However, due to the complex environment of electric power facilities, the UWB system does not perform well due to the non-line-of-sight (NLOS) errors. To solve this problem, a UWB positioning algorithm based on Received Signal Strength Indication (RSSI) is proposed to suppress NLOS errors. Determine whether the tag is in an NLOS environment by seeing if the signal strength exceeds the threshold. If the number of remaining nodes is less than 4, the least squares method is used to calculate the position. If the number of remaining nodes is greater than or equal to 4, the NLOS error suppression algorithm based on residual power weighting is used to reduce the positioning error. The high-order weight function is used to assign weights to each LOS node, which makes the weights sensitive to the change of residuals and effectively inhibits errors. Results demonstrate that this algorithm can effectively identify NLOS environments and suppress NLOS error.

Identifiers

PMID40634588
PMCPMC12241587

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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.