Cargando…

A New Method for Land Vehicle Gravimetry Using SINS/VEL

The use of Global Navigation Satellite System (GNSS) data for land vehicle gravimetry tests is challenged by complicated environments. A new approach for land vehicle gravimetry using a Strapdown Inertial Navigation System and velometer-integrated navigation computation (SINS/VEL) without using GNSS...

Descripción completa

Detalles Bibliográficos
Autores principales: Yu, Ruihang, Wu, Meiping, Zhang, Kaidong, Cai, Shaokun, Cao, Juliang, Wang, Minghao, Wang, Lin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5422039/
https://www.ncbi.nlm.nih.gov/pubmed/28375180
http://dx.doi.org/10.3390/s17040766
_version_ 1783234705233018880
author Yu, Ruihang
Wu, Meiping
Zhang, Kaidong
Cai, Shaokun
Cao, Juliang
Wang, Minghao
Wang, Lin
author_facet Yu, Ruihang
Wu, Meiping
Zhang, Kaidong
Cai, Shaokun
Cao, Juliang
Wang, Minghao
Wang, Lin
author_sort Yu, Ruihang
collection PubMed
description The use of Global Navigation Satellite System (GNSS) data for land vehicle gravimetry tests is challenged by complicated environments. A new approach for land vehicle gravimetry using a Strapdown Inertial Navigation System and velometer-integrated navigation computation (SINS/VEL) without using GNSS information has been put forward. Aided by the velometer with continuous longitudinal velocity output instead of GNSS signals, a SGA-WZ02 strapdown gravimeter that used the SINS/VEL method was tested in 2015. Four repeated lines were measured along a south-north direction highway in Eastern Changsha to verify the new method’s feasibility and performance. The gravity disturbance results showed an internal accuracy in scalar gravimetry about 1.17 mGal and 1.91 mGal for external accuracy assessment, with a spatial resolution of 1.7 km. Comparing this new method with the traditional SINS/GNSS gravimetry approach, it appeared that the results using SINS/VEL showed comparable internal and external accuracy. Theoretical analysis and practical test results showed that the new method was feasible for gravity determination by land dynamic vehicle.
format Online
Article
Text
id pubmed-5422039
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-54220392017-05-12 A New Method for Land Vehicle Gravimetry Using SINS/VEL Yu, Ruihang Wu, Meiping Zhang, Kaidong Cai, Shaokun Cao, Juliang Wang, Minghao Wang, Lin Sensors (Basel) Article The use of Global Navigation Satellite System (GNSS) data for land vehicle gravimetry tests is challenged by complicated environments. A new approach for land vehicle gravimetry using a Strapdown Inertial Navigation System and velometer-integrated navigation computation (SINS/VEL) without using GNSS information has been put forward. Aided by the velometer with continuous longitudinal velocity output instead of GNSS signals, a SGA-WZ02 strapdown gravimeter that used the SINS/VEL method was tested in 2015. Four repeated lines were measured along a south-north direction highway in Eastern Changsha to verify the new method’s feasibility and performance. The gravity disturbance results showed an internal accuracy in scalar gravimetry about 1.17 mGal and 1.91 mGal for external accuracy assessment, with a spatial resolution of 1.7 km. Comparing this new method with the traditional SINS/GNSS gravimetry approach, it appeared that the results using SINS/VEL showed comparable internal and external accuracy. Theoretical analysis and practical test results showed that the new method was feasible for gravity determination by land dynamic vehicle. MDPI 2017-04-04 /pmc/articles/PMC5422039/ /pubmed/28375180 http://dx.doi.org/10.3390/s17040766 Text en © 2017 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
Yu, Ruihang
Wu, Meiping
Zhang, Kaidong
Cai, Shaokun
Cao, Juliang
Wang, Minghao
Wang, Lin
A New Method for Land Vehicle Gravimetry Using SINS/VEL
title A New Method for Land Vehicle Gravimetry Using SINS/VEL
title_full A New Method for Land Vehicle Gravimetry Using SINS/VEL
title_fullStr A New Method for Land Vehicle Gravimetry Using SINS/VEL
title_full_unstemmed A New Method for Land Vehicle Gravimetry Using SINS/VEL
title_short A New Method for Land Vehicle Gravimetry Using SINS/VEL
title_sort new method for land vehicle gravimetry using sins/vel
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5422039/
https://www.ncbi.nlm.nih.gov/pubmed/28375180
http://dx.doi.org/10.3390/s17040766
work_keys_str_mv AT yuruihang anewmethodforlandvehiclegravimetryusingsinsvel
AT wumeiping anewmethodforlandvehiclegravimetryusingsinsvel
AT zhangkaidong anewmethodforlandvehiclegravimetryusingsinsvel
AT caishaokun anewmethodforlandvehiclegravimetryusingsinsvel
AT caojuliang anewmethodforlandvehiclegravimetryusingsinsvel
AT wangminghao anewmethodforlandvehiclegravimetryusingsinsvel
AT wanglin anewmethodforlandvehiclegravimetryusingsinsvel
AT yuruihang newmethodforlandvehiclegravimetryusingsinsvel
AT wumeiping newmethodforlandvehiclegravimetryusingsinsvel
AT zhangkaidong newmethodforlandvehiclegravimetryusingsinsvel
AT caishaokun newmethodforlandvehiclegravimetryusingsinsvel
AT caojuliang newmethodforlandvehiclegravimetryusingsinsvel
AT wangminghao newmethodforlandvehiclegravimetryusingsinsvel
AT wanglin newmethodforlandvehiclegravimetryusingsinsvel