Comparison of MyRTKnet performance with various real-time corrections based on different time

Virtual Reference Station (VRS), Master-Auxiliary Corrections (MAX), Individualised Master-Auxiliary Corrections (IMAX), Nearest Base, and Network D-GNSS are among the Network Real-Time Kinematic (NRTK) techniques supported by the Malaysia Real-Time Kinematic GNSS Network (MyRTKnet) in providing net...

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Main Authors: Al-Attas, Syed Haziq Muhammad, Ab. Latip, Amir Sharifuddin, Md. Din, Ami Hassan, Al-Attas, Syed Idrus
Format: Conference or Workshop Item
Language:English
Published: 2023
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Online Access:http://eprints.utm.my/107736/1/AmiHassanMd2023_ComparisonofMyRTKnetPerformancewithVarious.pdf
http://eprints.utm.my/107736/
http://dx.doi.org/10.1088/1755-1315/1240/1/012005
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Institution: Universiti Teknologi Malaysia
Language: English
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spelling my.utm.1077362024-09-29T06:30:32Z http://eprints.utm.my/107736/ Comparison of MyRTKnet performance with various real-time corrections based on different time Al-Attas, Syed Haziq Muhammad Ab. Latip, Amir Sharifuddin Md. Din, Ami Hassan Al-Attas, Syed Idrus G Geography (General) Virtual Reference Station (VRS), Master-Auxiliary Corrections (MAX), Individualised Master-Auxiliary Corrections (IMAX), Nearest Base, and Network D-GNSS are among the Network Real-Time Kinematic (NRTK) techniques supported by the Malaysia Real-Time Kinematic GNSS Network (MyRTKnet) in providing network-based solutions to users. However, different network corrections have different limits due to different characters, thus offering a variety of position accuracy. Therefore, this study evaluated the accuracy of real-time corrections, VRS, MAX, IMAX, D-GNSS, and Nearest Base, for the coordinates at two different times, morning and evening. The study was conducted at two different times to make it easier for users to choose a suitable and quality time to conduct observations. This research was implemented on the pillars at the calibration site of Politeknik Sultan Haji Ahmad Shah (POLISAS) in Kuantan, Pahang. The coordinates in the pillar become a benchmark to differentiate with real-time correction coordinates. The result of that difference can be used to analyse the level of accuracy for real-time corrections. The study's findings show that the real-time correction accuracy of the VRS type is the most stable and has the highest accuracy. Nearest Base and MAX corrections also give relatively good accuracy and can be improved by increasing observation time and depending on the area. IMAX produces inconsistent results with relatively low accuracy, but some techniques can be applied to obtain good accuracy. D-GNSS type corrections give inconsistent results and low position accuracy as it utilises code measurement only. The research concludes that the best correction is VRS. The Nearest Base and MAX produce acceptable accuracy and can be safely chosen over IMAX and D-GNSS. 2023 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/107736/1/AmiHassanMd2023_ComparisonofMyRTKnetPerformancewithVarious.pdf Al-Attas, Syed Haziq Muhammad and Ab. Latip, Amir Sharifuddin and Md. Din, Ami Hassan and Al-Attas, Syed Idrus (2023) Comparison of MyRTKnet performance with various real-time corrections based on different time. In: 9th International Conference on Geomatics and Geospatial Technology 2023, GGT 2023, 22 May 2023 - 25 May 2023, Kuala Lumpur, Malaysia. http://dx.doi.org/10.1088/1755-1315/1240/1/012005
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic G Geography (General)
spellingShingle G Geography (General)
Al-Attas, Syed Haziq Muhammad
Ab. Latip, Amir Sharifuddin
Md. Din, Ami Hassan
Al-Attas, Syed Idrus
Comparison of MyRTKnet performance with various real-time corrections based on different time
description Virtual Reference Station (VRS), Master-Auxiliary Corrections (MAX), Individualised Master-Auxiliary Corrections (IMAX), Nearest Base, and Network D-GNSS are among the Network Real-Time Kinematic (NRTK) techniques supported by the Malaysia Real-Time Kinematic GNSS Network (MyRTKnet) in providing network-based solutions to users. However, different network corrections have different limits due to different characters, thus offering a variety of position accuracy. Therefore, this study evaluated the accuracy of real-time corrections, VRS, MAX, IMAX, D-GNSS, and Nearest Base, for the coordinates at two different times, morning and evening. The study was conducted at two different times to make it easier for users to choose a suitable and quality time to conduct observations. This research was implemented on the pillars at the calibration site of Politeknik Sultan Haji Ahmad Shah (POLISAS) in Kuantan, Pahang. The coordinates in the pillar become a benchmark to differentiate with real-time correction coordinates. The result of that difference can be used to analyse the level of accuracy for real-time corrections. The study's findings show that the real-time correction accuracy of the VRS type is the most stable and has the highest accuracy. Nearest Base and MAX corrections also give relatively good accuracy and can be improved by increasing observation time and depending on the area. IMAX produces inconsistent results with relatively low accuracy, but some techniques can be applied to obtain good accuracy. D-GNSS type corrections give inconsistent results and low position accuracy as it utilises code measurement only. The research concludes that the best correction is VRS. The Nearest Base and MAX produce acceptable accuracy and can be safely chosen over IMAX and D-GNSS.
format Conference or Workshop Item
author Al-Attas, Syed Haziq Muhammad
Ab. Latip, Amir Sharifuddin
Md. Din, Ami Hassan
Al-Attas, Syed Idrus
author_facet Al-Attas, Syed Haziq Muhammad
Ab. Latip, Amir Sharifuddin
Md. Din, Ami Hassan
Al-Attas, Syed Idrus
author_sort Al-Attas, Syed Haziq Muhammad
title Comparison of MyRTKnet performance with various real-time corrections based on different time
title_short Comparison of MyRTKnet performance with various real-time corrections based on different time
title_full Comparison of MyRTKnet performance with various real-time corrections based on different time
title_fullStr Comparison of MyRTKnet performance with various real-time corrections based on different time
title_full_unstemmed Comparison of MyRTKnet performance with various real-time corrections based on different time
title_sort comparison of myrtknet performance with various real-time corrections based on different time
publishDate 2023
url http://eprints.utm.my/107736/1/AmiHassanMd2023_ComparisonofMyRTKnetPerformancewithVarious.pdf
http://eprints.utm.my/107736/
http://dx.doi.org/10.1088/1755-1315/1240/1/012005
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