GNSS active control point determinations

Name: Serm Chinnarat

Organization : Royal Thai Survey Department. Geodesy and Geophysics Division

Email : sermsurvey4960@gmail.com

Name: Thayathip Thongtan

Organization : National Institute of Metrology. Electrical Metrology Department

Email : thayathip@nimt.or.th

Name: Jittrakorn Bairaksa

Organization : Royal Thai Survey Department. Geodesy and Geophysics Division

Email : bairaksa@hotmail.com

keyword: Control points (Surveying)

LCSH: Geodesy -- Data processing

; Reference stations (Geodesy)

LCSH: Global Positioning System -- Measurement

; Geodetic networks

LCSH: Surveying -- Methodology

Abstract: Global Navigation Satellite System (GNSS) real-time kinematic (RTK) positioning is applied to determine users’ positions at the accuracy of a centimetre level, providing that carrier-phase ambiguities can be resolved to their integer values. Differential atmospheric errors can only be neglected for distances at a certain extent. The network-based RTK (NRTK) resolves differential atmospheric errors and orbit errors from GNSS observations of a network of reference stations before sending the computed corrections to requested users. These coefficients of correction models are explicitly determined based upon network observations on a common ambiguity level and coefficient of correction models; namely, Virtual Reference Station (VRS) observations, Flächen-Korrektur Parameters (FKP) standing for area correction parameters, Master-Auxiliary Concept (MAC), and Individualised-MAC (I-MAC). This study aims to evaluate the performance of four main correction models from a reference station network in Thailand principally structured by the Royal Thai Survey Department. In this experiment, an identical antenna is used while four receivers are observed in order to determine and evaluate performance concurrently. Obstacles are constantly a challenge in GNSS observations; hence, it is included in this positioning estimation. It is found that, in the observed area without obstacles, the percentage of fixed solutions is higher than 95% when VRS and I-MAC correction models are applied and greater than 75% with MAC and FKP. With obstacles, the success rate percentage of fixed ambiguities using FKP is better than 50%, while other models are less than 50%. The horizontal positioning accuracy is better than 5 centimetres in unobstructed conditions.

King Mongkut's University of Technology North Bangkok. Central Library

Address: BANGKOK

Email: library@kmutnb.ac.th

Created: 2021

Modified: 2026-04-07

Issued: 2026-04-07

บทความ/Article

application/pdf

BibliograpyCitation : In Chiang Mai University. Faculty of Engineering. 2021 18th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON 2021) (pp.6-9). Chiang Mai : Chiang Mai University

eng

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