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Intrinsic Identification and Mitigation of Multipath for Enhanced GNSS Positioning

In global navigation satellite system (GNSS)-based positioning and applications, multipath is by far the most obstinate impact. To overcome paradoxical issues faced by current processing approaches for multipath, this paper employs an intrinsic method to identify and mitigate multipath based on empi...

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Detalles Bibliográficos
Autores principales: Li, Qianxia, Xia, Linyuan, Chan, Ting On, Xia, Jingchao, Geng, Jijun, Zhu, Hongyu, Cai, Yuezhen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7796132/
https://www.ncbi.nlm.nih.gov/pubmed/33396679
http://dx.doi.org/10.3390/s21010188
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author Li, Qianxia
Xia, Linyuan
Chan, Ting On
Xia, Jingchao
Geng, Jijun
Zhu, Hongyu
Cai, Yuezhen
author_facet Li, Qianxia
Xia, Linyuan
Chan, Ting On
Xia, Jingchao
Geng, Jijun
Zhu, Hongyu
Cai, Yuezhen
author_sort Li, Qianxia
collection PubMed
description In global navigation satellite system (GNSS)-based positioning and applications, multipath is by far the most obstinate impact. To overcome paradoxical issues faced by current processing approaches for multipath, this paper employs an intrinsic method to identify and mitigate multipath based on empirical mode decomposition (EMD) and Hilbert–Huang transform (HHT). Frequency spectrum and power spectrum are comprehensively employed to identify and extract multipath from complex data series composed by combined GNSS observations. To systematically inspect the multipath from both code range and carrier phase, typical kinds of combinations of the GNSS observations including the code minus phase (CMP), differential correction (DC), and double differential (DD) carrier phase are selected for the suggested intrinsic approach to recognize and mitigate multipath under typical positioning modes. Compared with other current processing algorithms, the proposed methodology can deal with multipath under normal positioning modes without recourse to the conditions that satellite orbits are accurately repeated and surrounding environments of observing sites remain intact. The method can adaptively extract and eliminate multipath from solely the GNSS observations using intrinsic decomposition mechanism. From theoretical discussions and validating tests, it is found that both code and carrier phase multipath can be identified and distinguished from ionospheric delay and other impacts using the EMD based techniques. The resultant positioning accuracy is therefore improved to an obvious extent after the removal of the multipath. Overall, the proposed method can form an extensive and sound technical frame to enhance localization accuracy under typical GNSS positioning modes and harsh multipath environments.
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spelling pubmed-77961322021-01-10 Intrinsic Identification and Mitigation of Multipath for Enhanced GNSS Positioning Li, Qianxia Xia, Linyuan Chan, Ting On Xia, Jingchao Geng, Jijun Zhu, Hongyu Cai, Yuezhen Sensors (Basel) Article In global navigation satellite system (GNSS)-based positioning and applications, multipath is by far the most obstinate impact. To overcome paradoxical issues faced by current processing approaches for multipath, this paper employs an intrinsic method to identify and mitigate multipath based on empirical mode decomposition (EMD) and Hilbert–Huang transform (HHT). Frequency spectrum and power spectrum are comprehensively employed to identify and extract multipath from complex data series composed by combined GNSS observations. To systematically inspect the multipath from both code range and carrier phase, typical kinds of combinations of the GNSS observations including the code minus phase (CMP), differential correction (DC), and double differential (DD) carrier phase are selected for the suggested intrinsic approach to recognize and mitigate multipath under typical positioning modes. Compared with other current processing algorithms, the proposed methodology can deal with multipath under normal positioning modes without recourse to the conditions that satellite orbits are accurately repeated and surrounding environments of observing sites remain intact. The method can adaptively extract and eliminate multipath from solely the GNSS observations using intrinsic decomposition mechanism. From theoretical discussions and validating tests, it is found that both code and carrier phase multipath can be identified and distinguished from ionospheric delay and other impacts using the EMD based techniques. The resultant positioning accuracy is therefore improved to an obvious extent after the removal of the multipath. Overall, the proposed method can form an extensive and sound technical frame to enhance localization accuracy under typical GNSS positioning modes and harsh multipath environments. MDPI 2020-12-30 /pmc/articles/PMC7796132/ /pubmed/33396679 http://dx.doi.org/10.3390/s21010188 Text en © 2020 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
Li, Qianxia
Xia, Linyuan
Chan, Ting On
Xia, Jingchao
Geng, Jijun
Zhu, Hongyu
Cai, Yuezhen
Intrinsic Identification and Mitigation of Multipath for Enhanced GNSS Positioning
title Intrinsic Identification and Mitigation of Multipath for Enhanced GNSS Positioning
title_full Intrinsic Identification and Mitigation of Multipath for Enhanced GNSS Positioning
title_fullStr Intrinsic Identification and Mitigation of Multipath for Enhanced GNSS Positioning
title_full_unstemmed Intrinsic Identification and Mitigation of Multipath for Enhanced GNSS Positioning
title_short Intrinsic Identification and Mitigation of Multipath for Enhanced GNSS Positioning
title_sort intrinsic identification and mitigation of multipath for enhanced gnss positioning
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7796132/
https://www.ncbi.nlm.nih.gov/pubmed/33396679
http://dx.doi.org/10.3390/s21010188
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