Differential Kalman filter design for GNSS open loop tracking

Global navigation satellite system (GNSS) positioning in an urban environment is in need for accurate, reliable and robust positioning. Unfortunately, conventional closed-loop tracking fails to meet the demand. The open loop tracking shows improved robustness, however, the precision is unsatisfactor...

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Main Authors: Jin, Tian, Yuan, Heliang, Ling, Keck-Voon, Qin, Honglei, Kang, Jianrong
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2021
Subjects:
Online Access:https://hdl.handle.net/10356/146025
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author Jin, Tian
Yuan, Heliang
Ling, Keck-Voon
Qin, Honglei
Kang, Jianrong
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Jin, Tian
Yuan, Heliang
Ling, Keck-Voon
Qin, Honglei
Kang, Jianrong
author_sort Jin, Tian
collection NTU
description Global navigation satellite system (GNSS) positioning in an urban environment is in need for accurate, reliable and robust positioning. Unfortunately, conventional closed-loop tracking fails to meet the demand. The open loop tracking shows improved robustness, however, the precision is unsatisfactory. We propose a differential Kalman filter for open loop, of which the measurement vector contains the differential values of open loop navigation results between adjacent epochs. The differential Kalman filter makes use of the satellite geometry (i.e., spatial domain) and motion relationship (i.e., temporal domain) to filter frequency and code phase estimations of conventional open loop tracking. The improved performances of this architecture have been analyzed theoretically and demonstrated by road tests in an urban environment. The proposed architecture shows more than 50% accuracy improvement than the conventional open-loop tracking architecture.
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spelling ntu-10356/1460252021-01-21T06:31:56Z Differential Kalman filter design for GNSS open loop tracking Jin, Tian Yuan, Heliang Ling, Keck-Voon Qin, Honglei Kang, Jianrong School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering GNSS Open Loop Global navigation satellite system (GNSS) positioning in an urban environment is in need for accurate, reliable and robust positioning. Unfortunately, conventional closed-loop tracking fails to meet the demand. The open loop tracking shows improved robustness, however, the precision is unsatisfactory. We propose a differential Kalman filter for open loop, of which the measurement vector contains the differential values of open loop navigation results between adjacent epochs. The differential Kalman filter makes use of the satellite geometry (i.e., spatial domain) and motion relationship (i.e., temporal domain) to filter frequency and code phase estimations of conventional open loop tracking. The improved performances of this architecture have been analyzed theoretically and demonstrated by road tests in an urban environment. The proposed architecture shows more than 50% accuracy improvement than the conventional open-loop tracking architecture. Published version 2021-01-21T06:31:56Z 2021-01-21T06:31:56Z 2020 Journal Article Jin, T., Yuan, H., Ling, K.-V., Qin, H., & Kang, J. (2020). Differential Kalman filter design for GNSS open loop tracking. Remote Sensing, 12(5), 812-. doi:10.3390/rs12050812 2072-4292 0000-0002-5330-9779 https://hdl.handle.net/10356/146025 10.3390/rs12050812 2-s2.0-85081921139 5 12 en Remote Sensing © 2020 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/). application/pdf
spellingShingle Engineering::Electrical and electronic engineering
GNSS
Open Loop
Jin, Tian
Yuan, Heliang
Ling, Keck-Voon
Qin, Honglei
Kang, Jianrong
Differential Kalman filter design for GNSS open loop tracking
title Differential Kalman filter design for GNSS open loop tracking
title_full Differential Kalman filter design for GNSS open loop tracking
title_fullStr Differential Kalman filter design for GNSS open loop tracking
title_full_unstemmed Differential Kalman filter design for GNSS open loop tracking
title_short Differential Kalman filter design for GNSS open loop tracking
title_sort differential kalman filter design for gnss open loop tracking
topic Engineering::Electrical and electronic engineering
GNSS
Open Loop
url https://hdl.handle.net/10356/146025
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AT kangjianrong differentialkalmanfilterdesignforgnssopenlooptracking