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Low-Cost BD/MEMS Tightly-Coupled Pedestrian Navigation Algorithm
Pedestrian Dead Reckoning (PDR) by combining the Inertial Measurement Unit (IMU) and magnetometer is an independent navigation approach based on multiple sensors. Since the inertial component error is significantly determined by the parameters of navigation equations, the navigation precision may de...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6190053/ https://www.ncbi.nlm.nih.gov/pubmed/30404267 http://dx.doi.org/10.3390/mi7050091 |
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author | Lin, Tianyu Zhang, Zhenyuan Tian, Zengshan Zhou, Mu |
author_facet | Lin, Tianyu Zhang, Zhenyuan Tian, Zengshan Zhou, Mu |
author_sort | Lin, Tianyu |
collection | PubMed |
description | Pedestrian Dead Reckoning (PDR) by combining the Inertial Measurement Unit (IMU) and magnetometer is an independent navigation approach based on multiple sensors. Since the inertial component error is significantly determined by the parameters of navigation equations, the navigation precision may deteriorate with time, which is inappropriate for long-time navigation. Although the BeiDou (BD) navigation system can provide high navigation precision in most scenarios, the signal from satellites is easily degraded because of buildings or thick foliage. To solve this problem, a tightly-coupled BD/MEMS (Micro-Electro-Mechanical Systems) integration algorithm is proposed in this paper, and a prototype was built for implementing the integrated system. The extensive experiments prove that the BD/MEMS system performs well in different environments, such as an open sky environment and a playground surrounded by trees and thick foliage. The proposed algorithm is able to provide continuous and reliable positioning service for pedestrian outdoors and thereby has wide practical application. |
format | Online Article Text |
id | pubmed-6190053 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-61900532018-11-01 Low-Cost BD/MEMS Tightly-Coupled Pedestrian Navigation Algorithm Lin, Tianyu Zhang, Zhenyuan Tian, Zengshan Zhou, Mu Micromachines (Basel) Article Pedestrian Dead Reckoning (PDR) by combining the Inertial Measurement Unit (IMU) and magnetometer is an independent navigation approach based on multiple sensors. Since the inertial component error is significantly determined by the parameters of navigation equations, the navigation precision may deteriorate with time, which is inappropriate for long-time navigation. Although the BeiDou (BD) navigation system can provide high navigation precision in most scenarios, the signal from satellites is easily degraded because of buildings or thick foliage. To solve this problem, a tightly-coupled BD/MEMS (Micro-Electro-Mechanical Systems) integration algorithm is proposed in this paper, and a prototype was built for implementing the integrated system. The extensive experiments prove that the BD/MEMS system performs well in different environments, such as an open sky environment and a playground surrounded by trees and thick foliage. The proposed algorithm is able to provide continuous and reliable positioning service for pedestrian outdoors and thereby has wide practical application. MDPI 2016-05-16 /pmc/articles/PMC6190053/ /pubmed/30404267 http://dx.doi.org/10.3390/mi7050091 Text en © 2016 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 Lin, Tianyu Zhang, Zhenyuan Tian, Zengshan Zhou, Mu Low-Cost BD/MEMS Tightly-Coupled Pedestrian Navigation Algorithm |
title | Low-Cost BD/MEMS Tightly-Coupled Pedestrian Navigation Algorithm |
title_full | Low-Cost BD/MEMS Tightly-Coupled Pedestrian Navigation Algorithm |
title_fullStr | Low-Cost BD/MEMS Tightly-Coupled Pedestrian Navigation Algorithm |
title_full_unstemmed | Low-Cost BD/MEMS Tightly-Coupled Pedestrian Navigation Algorithm |
title_short | Low-Cost BD/MEMS Tightly-Coupled Pedestrian Navigation Algorithm |
title_sort | low-cost bd/mems tightly-coupled pedestrian navigation algorithm |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6190053/ https://www.ncbi.nlm.nih.gov/pubmed/30404267 http://dx.doi.org/10.3390/mi7050091 |
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