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Sequence-Based Indoor Localization with Channel Status Information
Most of the indoor localization systems nowadays are based on received signal strength indication (RSSI), which has further increased the importance of precise localization of access points (AP) in a wireless local area network (WLAN). Since most existing AP localization algorithms suffer from a hig...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6022130/ https://www.ncbi.nlm.nih.gov/pubmed/29867056 http://dx.doi.org/10.3390/s18061818 |
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author | Wang, Zhongqiu Chen, Ying Wang, Hai |
author_facet | Wang, Zhongqiu Chen, Ying Wang, Hai |
author_sort | Wang, Zhongqiu |
collection | PubMed |
description | Most of the indoor localization systems nowadays are based on received signal strength indication (RSSI), which has further increased the importance of precise localization of access points (AP) in a wireless local area network (WLAN). Since most existing AP localization algorithms suffer from a high error rate in practical scenarios due to multipath fading and temporal dynamics, we propose an AP localization algorithm based on the channel status information (CSI) sequence-based localization (SBL-CSI). The proposed algorithm SBL-CSI is an efficient localization method that consists of the following three major steps: Firstly, a 2D localization space is divided by special APs into distinct regions, and each region has a unique location sequence that represents the distance ranks of special APs to that region and constructs the location sequence table. Then, the relative distance of the ordinary AP, served in the location sequence, is obtained by using CSI between the ordinary AP and special AP. Finally, the “nearest” feasible sequence of the ordinary AP in the location sequence table is searched, and the centroid of the corresponding region is the ordinary AP’s localization. Compared with the traditional localization algorithm based on RSSI, the experiment results demonstrate that the positioning accuracy is improved approximately 24.31%. |
format | Online Article Text |
id | pubmed-6022130 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-60221302018-07-02 Sequence-Based Indoor Localization with Channel Status Information Wang, Zhongqiu Chen, Ying Wang, Hai Sensors (Basel) Article Most of the indoor localization systems nowadays are based on received signal strength indication (RSSI), which has further increased the importance of precise localization of access points (AP) in a wireless local area network (WLAN). Since most existing AP localization algorithms suffer from a high error rate in practical scenarios due to multipath fading and temporal dynamics, we propose an AP localization algorithm based on the channel status information (CSI) sequence-based localization (SBL-CSI). The proposed algorithm SBL-CSI is an efficient localization method that consists of the following three major steps: Firstly, a 2D localization space is divided by special APs into distinct regions, and each region has a unique location sequence that represents the distance ranks of special APs to that region and constructs the location sequence table. Then, the relative distance of the ordinary AP, served in the location sequence, is obtained by using CSI between the ordinary AP and special AP. Finally, the “nearest” feasible sequence of the ordinary AP in the location sequence table is searched, and the centroid of the corresponding region is the ordinary AP’s localization. Compared with the traditional localization algorithm based on RSSI, the experiment results demonstrate that the positioning accuracy is improved approximately 24.31%. MDPI 2018-06-04 /pmc/articles/PMC6022130/ /pubmed/29867056 http://dx.doi.org/10.3390/s18061818 Text en © 2018 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Wang, Zhongqiu Chen, Ying Wang, Hai Sequence-Based Indoor Localization with Channel Status Information |
title | Sequence-Based Indoor Localization with Channel Status Information |
title_full | Sequence-Based Indoor Localization with Channel Status Information |
title_fullStr | Sequence-Based Indoor Localization with Channel Status Information |
title_full_unstemmed | Sequence-Based Indoor Localization with Channel Status Information |
title_short | Sequence-Based Indoor Localization with Channel Status Information |
title_sort | sequence-based indoor localization with channel status information |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6022130/ https://www.ncbi.nlm.nih.gov/pubmed/29867056 http://dx.doi.org/10.3390/s18061818 |
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