Assessment of Galileo E6B Data Demodulation Performance at High Latitudes: a Norwegian Vessel Case Study
The Galileo High Accuracy Service (HAS) is currently in its testing phase where actual correc-tions are transmitted along with standard dummy messages. The dissemination of Precise Point Positioning (PPP) corrections is performed using an innovative scheme based on a Reed-Solomon code, which allows...
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Online Access: | https://publications.jrc.ec.europa.eu/repository/handle/JRC126242 https://www.mdpi.com/2072-4292/13/22/4669 https://doi.org/10.3390/rs13224669 |
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ftjrc:oai:publications.jrc.ec.europa.eu:JRC126242 2023-05-15T17:03:59+02:00 Assessment of Galileo E6B Data Demodulation Performance at High Latitudes: a Norwegian Vessel Case Study SUSI Melania BORIO Daniele GIOIA Ciro BRUNES Morten Taraldsten DÄHNN Michael GRINDE Gro ROST Christian 2021 Online https://publications.jrc.ec.europa.eu/repository/handle/JRC126242 https://www.mdpi.com/2072-4292/13/22/4669 https://doi.org/10.3390/rs13224669 eng eng MDPI JRC126242 2021 ftjrc https://doi.org/10.3390/rs13224669 2022-05-01T08:21:47Z The Galileo High Accuracy Service (HAS) is currently in its testing phase where actual correc-tions are transmitted along with standard dummy messages. The dissemination of Precise Point Positioning (PPP) corrections is performed using an innovative scheme based on a Reed-Solomon code, which allows the reconstruction of the original navigation message from a subset of received pages. This approach introduces robustness to the reception process and aims at reducing the Time-To-Retrieve Data (TTRD), that is the time to retrieve the HAS message. This paper investigates the HAS demodulation performance considering Galileo signals collected at high-latitudes. In particular, a Galileo E6 capable receiver was mounted on a vessel sailing from Bergen to Kirkenes, Norway, and reaching up to 71 degrees North. The trajectory of the vessel is at the border of the Galileo HAS service area and high-latitudes impact reception conditions, potentially leading to poor satellite geometries. Three months of data from January to March 2021 were analysed considering several metrics including Bit Error Rate (BER), Page Error Rate (PER) and TTRD. The analysis shows that the Reed-Solomon scheme adopted for data dissemina-tion is effective also at high-latitudes with daily PER below 1% and mean TTRD is in the order of eight seconds when 3 satellites are broadcasting valid HAS corrections. Lower values of the TTRD are achieved with an increased number of satellites. These values are significantly lower than the update rate of the corrections broadcast by the Galileo HAS. JRC.E.2 - Technology Innovation in Security Other/Unknown Material Kirkenes Joint Research Centre, European Commission: JRC Publications Repository Bergen Norway Remote Sensing 13 22 4669 |
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Open Polar |
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Joint Research Centre, European Commission: JRC Publications Repository |
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language |
English |
description |
The Galileo High Accuracy Service (HAS) is currently in its testing phase where actual correc-tions are transmitted along with standard dummy messages. The dissemination of Precise Point Positioning (PPP) corrections is performed using an innovative scheme based on a Reed-Solomon code, which allows the reconstruction of the original navigation message from a subset of received pages. This approach introduces robustness to the reception process and aims at reducing the Time-To-Retrieve Data (TTRD), that is the time to retrieve the HAS message. This paper investigates the HAS demodulation performance considering Galileo signals collected at high-latitudes. In particular, a Galileo E6 capable receiver was mounted on a vessel sailing from Bergen to Kirkenes, Norway, and reaching up to 71 degrees North. The trajectory of the vessel is at the border of the Galileo HAS service area and high-latitudes impact reception conditions, potentially leading to poor satellite geometries. Three months of data from January to March 2021 were analysed considering several metrics including Bit Error Rate (BER), Page Error Rate (PER) and TTRD. The analysis shows that the Reed-Solomon scheme adopted for data dissemina-tion is effective also at high-latitudes with daily PER below 1% and mean TTRD is in the order of eight seconds when 3 satellites are broadcasting valid HAS corrections. Lower values of the TTRD are achieved with an increased number of satellites. These values are significantly lower than the update rate of the corrections broadcast by the Galileo HAS. JRC.E.2 - Technology Innovation in Security |
author |
SUSI Melania BORIO Daniele GIOIA Ciro BRUNES Morten Taraldsten DÄHNN Michael GRINDE Gro ROST Christian |
spellingShingle |
SUSI Melania BORIO Daniele GIOIA Ciro BRUNES Morten Taraldsten DÄHNN Michael GRINDE Gro ROST Christian Assessment of Galileo E6B Data Demodulation Performance at High Latitudes: a Norwegian Vessel Case Study |
author_facet |
SUSI Melania BORIO Daniele GIOIA Ciro BRUNES Morten Taraldsten DÄHNN Michael GRINDE Gro ROST Christian |
author_sort |
SUSI Melania |
title |
Assessment of Galileo E6B Data Demodulation Performance at High Latitudes: a Norwegian Vessel Case Study |
title_short |
Assessment of Galileo E6B Data Demodulation Performance at High Latitudes: a Norwegian Vessel Case Study |
title_full |
Assessment of Galileo E6B Data Demodulation Performance at High Latitudes: a Norwegian Vessel Case Study |
title_fullStr |
Assessment of Galileo E6B Data Demodulation Performance at High Latitudes: a Norwegian Vessel Case Study |
title_full_unstemmed |
Assessment of Galileo E6B Data Demodulation Performance at High Latitudes: a Norwegian Vessel Case Study |
title_sort |
assessment of galileo e6b data demodulation performance at high latitudes: a norwegian vessel case study |
publisher |
MDPI |
publishDate |
2021 |
url |
https://publications.jrc.ec.europa.eu/repository/handle/JRC126242 https://www.mdpi.com/2072-4292/13/22/4669 https://doi.org/10.3390/rs13224669 |
geographic |
Bergen Norway |
geographic_facet |
Bergen Norway |
genre |
Kirkenes |
genre_facet |
Kirkenes |
op_relation |
JRC126242 |
op_doi |
https://doi.org/10.3390/rs13224669 |
container_title |
Remote Sensing |
container_volume |
13 |
container_issue |
22 |
container_start_page |
4669 |
_version_ |
1766057989153751040 |