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Smartphone Positioning and Accuracy Analysis Based on Real-Time Regional Ionospheric Correction Model

As one of the main errors that affects Global Navigation Satellite System (GNSS) positioning accuracy, ionospheric delay also affects the improvement of smartphone positioning accuracy. The current ionospheric error correction model used in smartphones has a certain time delay and low accuracy, whic...

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Autores principales: Liu, Qi, Gao, Chengfa, Peng, Zihan, Zhang, Ruicheng, Shang, Rui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8200079/
https://www.ncbi.nlm.nih.gov/pubmed/34199807
http://dx.doi.org/10.3390/s21113879
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author Liu, Qi
Gao, Chengfa
Peng, Zihan
Zhang, Ruicheng
Shang, Rui
author_facet Liu, Qi
Gao, Chengfa
Peng, Zihan
Zhang, Ruicheng
Shang, Rui
author_sort Liu, Qi
collection PubMed
description As one of the main errors that affects Global Navigation Satellite System (GNSS) positioning accuracy, ionospheric delay also affects the improvement of smartphone positioning accuracy. The current ionospheric error correction model used in smartphones has a certain time delay and low accuracy, which is difficult to meet the needs of real-time positioning of smartphones. This article proposes a method to use the real-time regional ionospheric model retrieved from the regional Continuously Operating Reference Stations (CORS) observation data to correct the GNSS positioning error of the smartphone. To verify the accuracy of the model, using the posterior grid as the standard, the electron content error of the regional ionospheric model is less than 5 Total Electron Content Unit (TECU), which is about 50% higher than the Klobuchar model, and to further evaluate the impact of the regional ionosphere model on the real-time positioning accuracy of smartphones, carrier-smoothing pseudorange and single-frequency Precise Point Positioning (PPP) tests were carried out. The results show that the real-time regional ionospheric model can significantly improve the positioning accuracy of smartphones, especially in the elevation direction. Compared with the Klobuchar model, the improvement effect is more than 34%, and the real-time regional ionospheric model also shortens the convergence time of the elevation direction to 1 min. (The convergence condition is that the range of continuous 20 s is less than 0.5 m).
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spelling pubmed-82000792021-06-14 Smartphone Positioning and Accuracy Analysis Based on Real-Time Regional Ionospheric Correction Model Liu, Qi Gao, Chengfa Peng, Zihan Zhang, Ruicheng Shang, Rui Sensors (Basel) Article As one of the main errors that affects Global Navigation Satellite System (GNSS) positioning accuracy, ionospheric delay also affects the improvement of smartphone positioning accuracy. The current ionospheric error correction model used in smartphones has a certain time delay and low accuracy, which is difficult to meet the needs of real-time positioning of smartphones. This article proposes a method to use the real-time regional ionospheric model retrieved from the regional Continuously Operating Reference Stations (CORS) observation data to correct the GNSS positioning error of the smartphone. To verify the accuracy of the model, using the posterior grid as the standard, the electron content error of the regional ionospheric model is less than 5 Total Electron Content Unit (TECU), which is about 50% higher than the Klobuchar model, and to further evaluate the impact of the regional ionosphere model on the real-time positioning accuracy of smartphones, carrier-smoothing pseudorange and single-frequency Precise Point Positioning (PPP) tests were carried out. The results show that the real-time regional ionospheric model can significantly improve the positioning accuracy of smartphones, especially in the elevation direction. Compared with the Klobuchar model, the improvement effect is more than 34%, and the real-time regional ionospheric model also shortens the convergence time of the elevation direction to 1 min. (The convergence condition is that the range of continuous 20 s is less than 0.5 m). MDPI 2021-06-04 /pmc/articles/PMC8200079/ /pubmed/34199807 http://dx.doi.org/10.3390/s21113879 Text en © 2021 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
Liu, Qi
Gao, Chengfa
Peng, Zihan
Zhang, Ruicheng
Shang, Rui
Smartphone Positioning and Accuracy Analysis Based on Real-Time Regional Ionospheric Correction Model
title Smartphone Positioning and Accuracy Analysis Based on Real-Time Regional Ionospheric Correction Model
title_full Smartphone Positioning and Accuracy Analysis Based on Real-Time Regional Ionospheric Correction Model
title_fullStr Smartphone Positioning and Accuracy Analysis Based on Real-Time Regional Ionospheric Correction Model
title_full_unstemmed Smartphone Positioning and Accuracy Analysis Based on Real-Time Regional Ionospheric Correction Model
title_short Smartphone Positioning and Accuracy Analysis Based on Real-Time Regional Ionospheric Correction Model
title_sort smartphone positioning and accuracy analysis based on real-time regional ionospheric correction model
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8200079/
https://www.ncbi.nlm.nih.gov/pubmed/34199807
http://dx.doi.org/10.3390/s21113879
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AT zhangruicheng smartphonepositioningandaccuracyanalysisbasedonrealtimeregionalionosphericcorrectionmodel
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