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A Novel Linear Model Based on Code Approximation for GNSS/INS Ultra-Tight Integration System
The superiority of a global navigation satellite system (GNSS)/inertial navigation system (INS) ultra-tight integration navigation system has been widely verified. For those systems with centralized structure based on coherent-accumulation measurements (I/Q), the conversion from I/Q signals to navig...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7308920/ https://www.ncbi.nlm.nih.gov/pubmed/32512781 http://dx.doi.org/10.3390/s20113192 |
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author | Yan, Zhe Chen, Xiyuan Tang, Xinhua |
author_facet | Yan, Zhe Chen, Xiyuan Tang, Xinhua |
author_sort | Yan, Zhe |
collection | PubMed |
description | The superiority of a global navigation satellite system (GNSS)/inertial navigation system (INS) ultra-tight integration navigation system has been widely verified. For those systems with centralized structure based on coherent-accumulation measurements (I/Q), the conversion from I/Q signals to navigation information is implemented by an observation equation. As a result, the model is highly complex and nonlinear, exerting essential influence on system performance. Based on the analysis of previous studies, a novel model and its linearization method are proposed, aiming at the integrity, stability and implicit nonlinear factors. Unlike the one-order precision in the common Jacobian matrix, two-order components are partly reserved in this model, which makes it possible for higher positioning accuracy and better convergence. For the positioning errors caused by ignoring code-loop deviation, a method to approximate code-phase is proposed without introducing new measurements. Consequently, the effect of code error can be significantly reduced, especially when the tracking loops are unstable. In the end, using real-sampled satellite signals, semi-physical experiments are carried out and the effectiveness and superiority of new methods are proved. |
format | Online Article Text |
id | pubmed-7308920 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-73089202020-06-25 A Novel Linear Model Based on Code Approximation for GNSS/INS Ultra-Tight Integration System Yan, Zhe Chen, Xiyuan Tang, Xinhua Sensors (Basel) Article The superiority of a global navigation satellite system (GNSS)/inertial navigation system (INS) ultra-tight integration navigation system has been widely verified. For those systems with centralized structure based on coherent-accumulation measurements (I/Q), the conversion from I/Q signals to navigation information is implemented by an observation equation. As a result, the model is highly complex and nonlinear, exerting essential influence on system performance. Based on the analysis of previous studies, a novel model and its linearization method are proposed, aiming at the integrity, stability and implicit nonlinear factors. Unlike the one-order precision in the common Jacobian matrix, two-order components are partly reserved in this model, which makes it possible for higher positioning accuracy and better convergence. For the positioning errors caused by ignoring code-loop deviation, a method to approximate code-phase is proposed without introducing new measurements. Consequently, the effect of code error can be significantly reduced, especially when the tracking loops are unstable. In the end, using real-sampled satellite signals, semi-physical experiments are carried out and the effectiveness and superiority of new methods are proved. MDPI 2020-06-04 /pmc/articles/PMC7308920/ /pubmed/32512781 http://dx.doi.org/10.3390/s20113192 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 Yan, Zhe Chen, Xiyuan Tang, Xinhua A Novel Linear Model Based on Code Approximation for GNSS/INS Ultra-Tight Integration System |
title | A Novel Linear Model Based on Code Approximation for GNSS/INS Ultra-Tight Integration System |
title_full | A Novel Linear Model Based on Code Approximation for GNSS/INS Ultra-Tight Integration System |
title_fullStr | A Novel Linear Model Based on Code Approximation for GNSS/INS Ultra-Tight Integration System |
title_full_unstemmed | A Novel Linear Model Based on Code Approximation for GNSS/INS Ultra-Tight Integration System |
title_short | A Novel Linear Model Based on Code Approximation for GNSS/INS Ultra-Tight Integration System |
title_sort | novel linear model based on code approximation for gnss/ins ultra-tight integration system |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7308920/ https://www.ncbi.nlm.nih.gov/pubmed/32512781 http://dx.doi.org/10.3390/s20113192 |
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