Evidence map›Paper›PMID 40363325›Full record

ArticleSensors (Basel, Switzerland)2025

Research on Centroid Localization Method of Underground Space Ground Electrode Current Field Based on RSSI.

Sirui Chu, Hui Zhao, Zhong Su, Xiangxian Yao, Xibing Gu, Yanke Wang, Zhongao Ling

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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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

7 authors.

Sirui ChuBeijing Key Laboratory of High Dynamic Navigation Technology, Beijing Information Science and Technology University, Beijing100192, China.ORCID 0009-0000-4458-2880
Hui ZhaoBeijing Key Laboratory of High Dynamic Navigation Technology, Beijing Information Science and Technology University, Beijing100192, China.ORCID 0000-0002-5326-9930
Zhong SuBeijing Key Laboratory of High Dynamic Navigation Technology, Beijing Information Science and Technology University, Beijing100192, China.ORCID 0000-0003-2303-9787
Xiangxian YaoBeijing Key Laboratory of High Dynamic Navigation Technology, Beijing Information Science and Technology University, Beijing100192, China.ORCID 0009-0003-1427-8273
Xibing GuBeijing Key Laboratory of High Dynamic Navigation Technology, Beijing Information Science and Technology University, Beijing100192, China.ORCID 0009-0005-2250-6170
Yanke WangBeijing Key Laboratory of High Dynamic Navigation Technology, Beijing Information Science and Technology University, Beijing100192, China.
Zhongao LingBeijing Key Laboratory of High Dynamic Navigation Technology, Beijing Information Science and Technology University, Beijing100192, China.

Funding

the Beijing Natural Science Foundation 4244091the National Natural Science Foundation of China 61971048
6 · The paper itself

Abstract

Aiming to solve the problems of communication interruption caused by the collapse of underground space, this study constructs a strong penetration information transmission system and proposes a centroid localization method based on the received signal strength indication (RSSI) in an underground space ground electrode current field. This is applicable to localization in underground space such as subways, mines, tunnels, etc., as well as under the environment of collapse. First, the propagation characteristics of the ground current field signal in underground space are analyzed, and the attenuation model of the ground current field signal is constructed by combining the RSSI ranging method. On this basis, an improved weighted centroid localization algorithm is introduced to improve the localization accuracy and reliability by optimizing the algorithm parameters to cope with the fluctuations and instabilities generated in the signal propagation process. The experimental results show that the proposed localization method achieves an average positioning error of 7.47 m in an underground environment of 10,000 square meters, which is 32.32% less compared with the weighted centroid localization algorithm, and 62.74% less compared with the traditional centroid localization algorithm. This method presents a positioning technology that operates independently in underground spaces, overcoming the limitation of traditional wireless positioning systems, which rely on external transmission links. Its application will provide crucial technical support for life-saving operations in underground environments, acting as the 'last line of defense' in rescue missions. By completing the emergency response chain, it will enhance disaster rescue capabilities, offering substantial practical value and promising prospects.

Indexed as

centroid localization algorithmground electrode current fieldpersonnel localizationreceived signal strengthRSSI

Identifiers

PMID40363325
PMCPMC12074520

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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.