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...
Main Authors: | , , , , |
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Format: | Journal Article |
Language: | English |
Published: |
2021
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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. |
first_indexed | 2024-10-01T07:30:59Z |
format | Journal Article |
id | ntu-10356/146025 |
institution | Nanyang Technological University |
language | English |
last_indexed | 2024-10-01T07:30:59Z |
publishDate | 2021 |
record_format | dspace |
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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