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Channel State Information Based Indoor Fingerprinting Localization
Indoor localization is one of the key techniques for location-based services (LBSs), which play a significant role in applications in confined spaces, such as tunnels and mines. To achieve indoor localization in confined spaces, the channel state information (CSI) of WiFi can be selected as a featur...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346970/ https://www.ncbi.nlm.nih.gov/pubmed/37447679 http://dx.doi.org/10.3390/s23135830 |
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author | Che, Rongjie Chen, Honglong |
author_facet | Che, Rongjie Chen, Honglong |
author_sort | Che, Rongjie |
collection | PubMed |
description | Indoor localization is one of the key techniques for location-based services (LBSs), which play a significant role in applications in confined spaces, such as tunnels and mines. To achieve indoor localization in confined spaces, the channel state information (CSI) of WiFi can be selected as a feature to distinguish locations due to its fine-grained characteristics compared with the received signal strength (RSS). In this paper, two indoor localization approaches based on CSI fingerprinting were designed: amplitude-of-CSI-based indoor fingerprinting localization (AmpFi) and full-dimensional CSI-based indoor fingerprinting localization (FuFi). AmpFi adopts the amplitude of the CSI as the localization fingerprint in the offline phase, and in the online phase, the improved weighted K-nearest neighbor (IWKNN) is proposed to estimate the unknown locations. Based on AmpFi, FuFi is proposed, which considers all of the subcarriers in the MIMO system as the independent features and adopts the normalized amplitudes of the full-dimensional subcarriers as the fingerprint. AmpFi and FuFi were implemented on a commercial network interface card (NIC), where FuFi outperformed several other typical fingerprinting-based indoor localization approaches. |
format | Online Article Text |
id | pubmed-10346970 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-103469702023-07-15 Channel State Information Based Indoor Fingerprinting Localization Che, Rongjie Chen, Honglong Sensors (Basel) Article Indoor localization is one of the key techniques for location-based services (LBSs), which play a significant role in applications in confined spaces, such as tunnels and mines. To achieve indoor localization in confined spaces, the channel state information (CSI) of WiFi can be selected as a feature to distinguish locations due to its fine-grained characteristics compared with the received signal strength (RSS). In this paper, two indoor localization approaches based on CSI fingerprinting were designed: amplitude-of-CSI-based indoor fingerprinting localization (AmpFi) and full-dimensional CSI-based indoor fingerprinting localization (FuFi). AmpFi adopts the amplitude of the CSI as the localization fingerprint in the offline phase, and in the online phase, the improved weighted K-nearest neighbor (IWKNN) is proposed to estimate the unknown locations. Based on AmpFi, FuFi is proposed, which considers all of the subcarriers in the MIMO system as the independent features and adopts the normalized amplitudes of the full-dimensional subcarriers as the fingerprint. AmpFi and FuFi were implemented on a commercial network interface card (NIC), where FuFi outperformed several other typical fingerprinting-based indoor localization approaches. MDPI 2023-06-22 /pmc/articles/PMC10346970/ /pubmed/37447679 http://dx.doi.org/10.3390/s23135830 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Che, Rongjie Chen, Honglong Channel State Information Based Indoor Fingerprinting Localization |
title | Channel State Information Based Indoor Fingerprinting Localization |
title_full | Channel State Information Based Indoor Fingerprinting Localization |
title_fullStr | Channel State Information Based Indoor Fingerprinting Localization |
title_full_unstemmed | Channel State Information Based Indoor Fingerprinting Localization |
title_short | Channel State Information Based Indoor Fingerprinting Localization |
title_sort | channel state information based indoor fingerprinting localization |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346970/ https://www.ncbi.nlm.nih.gov/pubmed/37447679 http://dx.doi.org/10.3390/s23135830 |
work_keys_str_mv | AT cherongjie channelstateinformationbasedindoorfingerprintinglocalization AT chenhonglong channelstateinformationbasedindoorfingerprintinglocalization |