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GDA: A GNSS data processing software for quality analysis
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DOI：10.1016/j.asr.2025.01.037.png)
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Abstract
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Global navigation satellite systems (GNSS) are pivotal for high-precision positioning, necessitating robust data quality analysis to ensure the accuracy and reliability of GNSS applications. Existing tools for GNSS data-quality analysis frequently fall short of function, user accessibility, and adaptability requirements, thus posing significant barriers to secondary development. To address these challenges, this study introduces GNSS Data Analysis (GDA), a comprehensive software solution designed to meet the critical needs of GNSS data analysis. GDA encompasses real-time data reception, post-processing, and real-time quality analysis capabilities. Developed in Rust, GDA is open-source and boasts strong cross-platform compatibility, along with enhanced flexibility for secondary development. By delivering an innovative and efficient approach to GNSS data-quality analysis, GDA effectively addresses the evolving demands of contemporary multisystem GNSS applications and contributes to the advancement of reliable positioning technologies. (c) 2025 COSPAR. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/ by-nc-nd/4.0/).
Keywords:
GNSS
Quality analysis
Post-processing
Real-time processing
Rust
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