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An Improved Ambiguity Resolution Algorithm for Smartphone RTK Positioning

Ambiguity resolution based on smartphone GNSS measurements can enable various potential applications that currently remain difficult due to ambiguity biases, especially under kinematic conditions. This study proposes an improved ambiguity resolution algorithm, which uses the search-and-shrink proced...

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Detalles Bibliográficos
Autores principales: Jiang, Yang, Gao, Yuting, Ding, Wei, Liu, Fei, Gao, Yang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10255996/
https://www.ncbi.nlm.nih.gov/pubmed/37300018
http://dx.doi.org/10.3390/s23115292
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author Jiang, Yang
Gao, Yuting
Ding, Wei
Liu, Fei
Gao, Yang
author_facet Jiang, Yang
Gao, Yuting
Ding, Wei
Liu, Fei
Gao, Yang
author_sort Jiang, Yang
collection PubMed
description Ambiguity resolution based on smartphone GNSS measurements can enable various potential applications that currently remain difficult due to ambiguity biases, especially under kinematic conditions. This study proposes an improved ambiguity resolution algorithm, which uses the search-and-shrink procedure coupled with the methods of the multi-epoch double-differenced residual test and the ambiguity majority tests for candidate vectors and ambiguities. By performing a static experiment with Xiaomi Mi 8, the AR efficiency of the proposed method is evaluated. Furthermore, a kinematic test with Google Pixel 5 verifies the effectiveness of the proposed method with improved positioning performance. In conclusion, centimeter-level smartphone positioning accuracy is achieved in both experiments, which is greatly improved compared with the float and traditional AR solutions.
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spelling pubmed-102559962023-06-10 An Improved Ambiguity Resolution Algorithm for Smartphone RTK Positioning Jiang, Yang Gao, Yuting Ding, Wei Liu, Fei Gao, Yang Sensors (Basel) Article Ambiguity resolution based on smartphone GNSS measurements can enable various potential applications that currently remain difficult due to ambiguity biases, especially under kinematic conditions. This study proposes an improved ambiguity resolution algorithm, which uses the search-and-shrink procedure coupled with the methods of the multi-epoch double-differenced residual test and the ambiguity majority tests for candidate vectors and ambiguities. By performing a static experiment with Xiaomi Mi 8, the AR efficiency of the proposed method is evaluated. Furthermore, a kinematic test with Google Pixel 5 verifies the effectiveness of the proposed method with improved positioning performance. In conclusion, centimeter-level smartphone positioning accuracy is achieved in both experiments, which is greatly improved compared with the float and traditional AR solutions. MDPI 2023-06-02 /pmc/articles/PMC10255996/ /pubmed/37300018 http://dx.doi.org/10.3390/s23115292 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
Jiang, Yang
Gao, Yuting
Ding, Wei
Liu, Fei
Gao, Yang
An Improved Ambiguity Resolution Algorithm for Smartphone RTK Positioning
title An Improved Ambiguity Resolution Algorithm for Smartphone RTK Positioning
title_full An Improved Ambiguity Resolution Algorithm for Smartphone RTK Positioning
title_fullStr An Improved Ambiguity Resolution Algorithm for Smartphone RTK Positioning
title_full_unstemmed An Improved Ambiguity Resolution Algorithm for Smartphone RTK Positioning
title_short An Improved Ambiguity Resolution Algorithm for Smartphone RTK Positioning
title_sort improved ambiguity resolution algorithm for smartphone rtk positioning
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10255996/
https://www.ncbi.nlm.nih.gov/pubmed/37300018
http://dx.doi.org/10.3390/s23115292
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