Evaluating the performance of open source GNSS online post-processing services

Yusri, Muhammad Nasruddin and Ab Latip, Amir Sharifuddin and Md Din, Ami Hassan and Ab Rahman, Abdul Aziz and Mohd Zaiddien, Sharifah Nur Attasyah (2025) Evaluating the performance of open source GNSS online post-processing services. Built Environment Journal, 22 (2): 1. pp. 1-23. ISSN 2637-0395

Official URL: https://journal.uitm.edu.my/ojs/index.php/BEJ/

Identification Number (DOI): 10.24191/bej.v22i2.952

Abstract

Various organisations have recently developed online processing services for GNSS data. However, due to limited information about their performance and accuracy, users struggle to make informed decisions. The objectives of this study are to assess the accuracy of the positioning solutions provided by the three online GNSS processing services (OPUS, AUSPOS, and CSRS-PPP) and determine the optimum observation times needed to achieve high accuracy in GNSS post-processing services. The study was conducted at UiTM Shah Alam, Selangor, with field observations performed at four selected control points using the static observation technique. The coordinates of control points were estimated using TBC software and online processing services, and the differences between the coordinates from these services and TBC software were computed. The results indicate that AUSPOS outperforms other services in terms of accuracy across different observation periods (4 hours, 3 hours, and 2 hours). For the 4-hour observation, the RMSE values are ±0.020 m for northing, ±0.022 m for easting, and ±0.028 m for ellipsoidal height. In the 3-hour observation, AUSPOS also shows the smallest RMSE values of ±0.028 m in northing, ±0.023 m in easting, and ±0.034 m in ellipsoidal height. Similarly, in the 2-hour observation, AUSPOS maintains the best performance with RMSE values of ±0.067 m for northing, ±0.073 m for easting, and ±0.082 m for ellipsoidal height. In conclusion, the study demonstrates that among the three online GNSS processing services evaluated, AUSPOS consistently delivers the highest accuracy across different observation durations, particularly in the 4-hour observation.

Metadata

Item Type: Article
Creators:
Creators
Email / ID Num.
Yusri, Muhammad Nasruddin
UNSPECIFIED
Ab Latip, Amir Sharifuddin
UNSPECIFIED
Md Din, Ami Hassan
UNSPECIFIED
Ab Rahman, Abdul Aziz
UNSPECIFIED
Mohd Zaiddien, Sharifah Nur Attasyah
UNSPECIFIED
Subjects: Q Science > QA Mathematics > Mathematical statistics. Probabilities > Data processing
Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Computer software
Divisions: Universiti Teknologi MARA, Shah Alam > College of Built Environment
Journal or Publication Title: Built Environment Journal
UiTM Journal Collections: UiTM Journals > Built Environment Journal (BEJ)
ISSN: 2637-0395
Volume: 22
Number: 2
Page Range: pp. 1-23
Keywords: GNSS, Online processing services, IGS
Date: July 2025
URI: https://ir.uitm.edu.my/id/eprint/125661
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