A tightly-coupled GPS/INS/UWB cooperative positioning sensors system supported by V2I communication

This paper investigates a tightly-coupled Global Position System (GPS)/Ultra-Wideband (UWB)/Inertial Navigation System (INS) cooperative positioning scheme using a Robust Kalman Filter (RKF) supported by V2I communication. The scheme proposes a method that uses range measurements of UWB units transm...

Full description

Bibliographic Details
Main Authors: Wang, Jian, Gao, Yang, Li, Zengke, Meng, Xiaolin, Hancock, Craig
Format: Article
Published: MDPI 2016
Subjects:
Online Access:https://eprints.nottingham.ac.uk/35373/
_version_ 1848795062729703424
author Wang, Jian
Gao, Yang
Li, Zengke
Meng, Xiaolin
Hancock, Craig
author_facet Wang, Jian
Gao, Yang
Li, Zengke
Meng, Xiaolin
Hancock, Craig
author_sort Wang, Jian
building Nottingham Research Data Repository
collection Online Access
description This paper investigates a tightly-coupled Global Position System (GPS)/Ultra-Wideband (UWB)/Inertial Navigation System (INS) cooperative positioning scheme using a Robust Kalman Filter (RKF) supported by V2I communication. The scheme proposes a method that uses range measurements of UWB units transmitted among the terminals as augmentation inputs of the observations. The UWB range inputs are used to reform the GPS observation equations that consist of pseudo-range and Doppler measurements and the updated observation equation is processed in a tightly-coupled GPS/UWB/INS integrated positioning equation using an adaptive Robust Kalman Filter. The result of the trial conducted on the roof of the Nottingham Geospatial Institute (NGI) at the University of Nottingham shows that the integrated solution provides better accuracy and improves the availability of the system in GPS denied environments. RKF can eliminate the effects of gross errors. Additionally, the internal and external reliabilities of the system are enhanced when the UWB observables received from the moving terminals are involved in the positioning algorithm.
first_indexed 2025-11-14T19:26:07Z
format Article
id nottingham-35373
institution University of Nottingham Malaysia Campus
institution_category Local University
last_indexed 2025-11-14T19:26:07Z
publishDate 2016
publisher MDPI
recordtype eprints
repository_type Digital Repository
spelling nottingham-353732020-05-04T17:55:06Z https://eprints.nottingham.ac.uk/35373/ A tightly-coupled GPS/INS/UWB cooperative positioning sensors system supported by V2I communication Wang, Jian Gao, Yang Li, Zengke Meng, Xiaolin Hancock, Craig This paper investigates a tightly-coupled Global Position System (GPS)/Ultra-Wideband (UWB)/Inertial Navigation System (INS) cooperative positioning scheme using a Robust Kalman Filter (RKF) supported by V2I communication. The scheme proposes a method that uses range measurements of UWB units transmitted among the terminals as augmentation inputs of the observations. The UWB range inputs are used to reform the GPS observation equations that consist of pseudo-range and Doppler measurements and the updated observation equation is processed in a tightly-coupled GPS/UWB/INS integrated positioning equation using an adaptive Robust Kalman Filter. The result of the trial conducted on the roof of the Nottingham Geospatial Institute (NGI) at the University of Nottingham shows that the integrated solution provides better accuracy and improves the availability of the system in GPS denied environments. RKF can eliminate the effects of gross errors. Additionally, the internal and external reliabilities of the system are enhanced when the UWB observables received from the moving terminals are involved in the positioning algorithm. MDPI 2016-06-27 Article PeerReviewed Wang, Jian, Gao, Yang, Li, Zengke, Meng, Xiaolin and Hancock, Craig (2016) A tightly-coupled GPS/INS/UWB cooperative positioning sensors system supported by V2I communication. Sensors, 16 . 944/1-944/16. ISSN 1424-8220 cooperative positioning; GPS; INS; Robust Kalman Filter; UWB; V2I http://www.mdpi.com/1424-8220/16/7/944 doi:10.3390/s16070944 doi:10.3390/s16070944
spellingShingle cooperative positioning; GPS; INS; Robust Kalman Filter; UWB; V2I
Wang, Jian
Gao, Yang
Li, Zengke
Meng, Xiaolin
Hancock, Craig
A tightly-coupled GPS/INS/UWB cooperative positioning sensors system supported by V2I communication
title A tightly-coupled GPS/INS/UWB cooperative positioning sensors system supported by V2I communication
title_full A tightly-coupled GPS/INS/UWB cooperative positioning sensors system supported by V2I communication
title_fullStr A tightly-coupled GPS/INS/UWB cooperative positioning sensors system supported by V2I communication
title_full_unstemmed A tightly-coupled GPS/INS/UWB cooperative positioning sensors system supported by V2I communication
title_short A tightly-coupled GPS/INS/UWB cooperative positioning sensors system supported by V2I communication
title_sort tightly-coupled gps/ins/uwb cooperative positioning sensors system supported by v2i communication
topic cooperative positioning; GPS; INS; Robust Kalman Filter; UWB; V2I
url https://eprints.nottingham.ac.uk/35373/
https://eprints.nottingham.ac.uk/35373/
https://eprints.nottingham.ac.uk/35373/