A Gyroscope Bias Estimation Algorithm Based on Map Specific Information

In an inertial navigation system, especially in a pedestrian dead-reckoning system, gyroscope bias can demonstrably reduce positioning accuracy. A novel gyroscope bias estimation algorithm is proposed, which estimates the bias of a gyroscope under any set of angle observations. Moreover, a method fo...

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Detalles Bibliográficos
Autores principales: Tan, Tian, Peng, Ao, Huang, Junjun, Zheng, Lingxiang, Ou, Gang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111699/
https://www.ncbi.nlm.nih.gov/pubmed/30072676
http://dx.doi.org/10.3390/s18082534
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author Tan, Tian
Peng, Ao
Huang, Junjun
Zheng, Lingxiang
Ou, Gang
author_facet Tan, Tian
Peng, Ao
Huang, Junjun
Zheng, Lingxiang
Ou, Gang
author_sort Tan, Tian
collection PubMed
description In an inertial navigation system, especially in a pedestrian dead-reckoning system, gyroscope bias can demonstrably reduce positioning accuracy. A novel gyroscope bias estimation algorithm is proposed, which estimates the bias of a gyroscope under any set of angle observations. Moreover, a method for obtaining Euler angles using map corridor information is proposed. The heading information obtained from a map is used to estimate the bias, and the estimated bias is used to correct the trajectories. Experimental results show that it is feasible for the algorithm to estimate the bias of the gyroscope.
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spelling pubmed-61116992018-08-30 A Gyroscope Bias Estimation Algorithm Based on Map Specific Information Tan, Tian Peng, Ao Huang, Junjun Zheng, Lingxiang Ou, Gang Sensors (Basel) Article In an inertial navigation system, especially in a pedestrian dead-reckoning system, gyroscope bias can demonstrably reduce positioning accuracy. A novel gyroscope bias estimation algorithm is proposed, which estimates the bias of a gyroscope under any set of angle observations. Moreover, a method for obtaining Euler angles using map corridor information is proposed. The heading information obtained from a map is used to estimate the bias, and the estimated bias is used to correct the trajectories. Experimental results show that it is feasible for the algorithm to estimate the bias of the gyroscope. MDPI 2018-08-02 /pmc/articles/PMC6111699/ /pubmed/30072676 http://dx.doi.org/10.3390/s18082534 Text en © 2018 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
Tan, Tian
Peng, Ao
Huang, Junjun
Zheng, Lingxiang
Ou, Gang
A Gyroscope Bias Estimation Algorithm Based on Map Specific Information
title A Gyroscope Bias Estimation Algorithm Based on Map Specific Information
title_full A Gyroscope Bias Estimation Algorithm Based on Map Specific Information
title_fullStr A Gyroscope Bias Estimation Algorithm Based on Map Specific Information
title_full_unstemmed A Gyroscope Bias Estimation Algorithm Based on Map Specific Information
title_short A Gyroscope Bias Estimation Algorithm Based on Map Specific Information
title_sort gyroscope bias estimation algorithm based on map specific information
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111699/
https://www.ncbi.nlm.nih.gov/pubmed/30072676
http://dx.doi.org/10.3390/s18082534
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