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Deeply Integrated GNSS/Gyro Attitude Determination System
Attitude determination systems based on Global Navigation Satellite Systems (GNSS) work on principle of phase interferometer, using multiple receiving antennas. They rely on a good quality of carrier phase tracking, that is not the case in real dynamic environment with low signal-to-noise ratio (SNR...
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/PMC7218873/ https://www.ncbi.nlm.nih.gov/pubmed/32295068 http://dx.doi.org/10.3390/s20082203 |
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author | Perov, Alexander Shatilov, Alexander |
author_facet | Perov, Alexander Shatilov, Alexander |
author_sort | Perov, Alexander |
collection | PubMed |
description | Attitude determination systems based on Global Navigation Satellite Systems (GNSS) work on principle of phase interferometer, using multiple receiving antennas. They rely on a good quality of carrier phase tracking, that is not the case in real dynamic environment with low signal-to-noise ratio (SNR), for example, in a ground vehicle moving through an urban area or forest. There is still a problem in providing a GNSS attitude in such common conditions. This research is focused on improving sensitivity (i.e., the capability of providing attitude at a low SNR) and the reliability of the GNSS attitude determination system. It is contrasted with the majority of publications, where precision or computational efficiency is the main goal, but sensitivity and reliability are out of their scope. In the proposed system, sensitivity improved by using two measures: (a) tracking only phase differences instead of tracking full carrier phases—this is more sensitive due to the lower dynamics of the underlying process, and (b) using deep integration with gyroscope, where all phase differences are tracked in a vector gyro-aided loop closed on user’s attitude in state vector. The algorithm synthesis is given, and simulation results are presented in this article. This shows that the minimal working SNR is lowered from 27–36 dBHz (typical) down to 20 dBHz, even with a low-cost MEMS gyroscope. |
format | Online Article Text |
id | pubmed-7218873 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-72188732020-05-22 Deeply Integrated GNSS/Gyro Attitude Determination System Perov, Alexander Shatilov, Alexander Sensors (Basel) Article Attitude determination systems based on Global Navigation Satellite Systems (GNSS) work on principle of phase interferometer, using multiple receiving antennas. They rely on a good quality of carrier phase tracking, that is not the case in real dynamic environment with low signal-to-noise ratio (SNR), for example, in a ground vehicle moving through an urban area or forest. There is still a problem in providing a GNSS attitude in such common conditions. This research is focused on improving sensitivity (i.e., the capability of providing attitude at a low SNR) and the reliability of the GNSS attitude determination system. It is contrasted with the majority of publications, where precision or computational efficiency is the main goal, but sensitivity and reliability are out of their scope. In the proposed system, sensitivity improved by using two measures: (a) tracking only phase differences instead of tracking full carrier phases—this is more sensitive due to the lower dynamics of the underlying process, and (b) using deep integration with gyroscope, where all phase differences are tracked in a vector gyro-aided loop closed on user’s attitude in state vector. The algorithm synthesis is given, and simulation results are presented in this article. This shows that the minimal working SNR is lowered from 27–36 dBHz (typical) down to 20 dBHz, even with a low-cost MEMS gyroscope. MDPI 2020-04-13 /pmc/articles/PMC7218873/ /pubmed/32295068 http://dx.doi.org/10.3390/s20082203 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 Perov, Alexander Shatilov, Alexander Deeply Integrated GNSS/Gyro Attitude Determination System |
title | Deeply Integrated GNSS/Gyro Attitude Determination System |
title_full | Deeply Integrated GNSS/Gyro Attitude Determination System |
title_fullStr | Deeply Integrated GNSS/Gyro Attitude Determination System |
title_full_unstemmed | Deeply Integrated GNSS/Gyro Attitude Determination System |
title_short | Deeply Integrated GNSS/Gyro Attitude Determination System |
title_sort | deeply integrated gnss/gyro attitude determination system |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7218873/ https://www.ncbi.nlm.nih.gov/pubmed/32295068 http://dx.doi.org/10.3390/s20082203 |
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