Optimization of UWB indoor positioning based on hardware accelerated Fuzzy ISODATA.

Hua Guo, Shanshan Song, Haozhou Yin, Daokuan Ren, Xiuwei Zhu

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In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

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1 citing paper in PubMed.

Optimization of UWB Base Station Deployment for Formwork Scaffolds in Underground Construction with Sub-Meter Positioning Accuracy by Semi-Controlled Field Experiments.Sensors (Basel, Switzerland) · 2026
Article

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5 · Who and what money

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5 authors.

Hua GuoCollege of Electronic and Information Engineering, Shandong University of Science and Technology, Qingdao, 266590, China. stone_strong@163.com.

Shanshan SongCollege of Electronic and Information Engineering, Shandong University of Science and Technology, Qingdao, 266590, China.

Haozhou YinCollege of Electronic and Information Engineering, Shandong University of Science and Technology, Qingdao, 266590, China.

Daokuan RenCollege of Electronic and Information Engineering, Shandong University of Science and Technology, Qingdao, 266590, China.

Xiuwei ZhuCollege of Electronic and Information Engineering, Shandong University of Science and Technology, Qingdao, 266590, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the development of wireless communication technology, Ultra-Wideband (UWB) has become an important solution for indoor positioning. In complex indoor environments, the influence of non-line-of-sight (NLOS) factors leads to increased positioning errors. To improve the positioning accuracy, fuzzy iterative self-organizing data analysis clustering algorithm (ISODATA) is introduced to process a large amount of UWB data to reduce the influence of NLOS factors, and to stabilize positioning error within 2 cm, enhances the accuracy of the positioning system. To further improve the running efficiency of the algorithm, FPGA is used to accelerate the key computational part of the algorithm, compared with running on the MATLAB platform, which improves the speed about 100 times, enhances the algorithm's computational speed dramatically.

Indexed as

FPGA accelerationFuzzy ISODATAIndoor positioningNLOS errorsUWB

Identifiers

PMID39097640

DOI10.1038/s41598-024-68998-0

PMCPMC11297961

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LicenceCC BY-NC-ND

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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.