Article
Version 1
Preserved in Portico This version is not peer-reviewed
Detailed GNSS Observation Noise Assessment Based on Ultra-Short Baseline
Version 1
: Received: 9 May 2024 / Approved: 9 May 2024 / Online: 9 May 2024 (07:56:03 CEST)
How to cite: Ji, S.; Wang, J.; Weng, D.; Chen, W. Detailed GNSS Observation Noise Assessment Based on Ultra-Short Baseline. Preprints 2024, 2024050566. https://doi.org/10.20944/preprints202405.0566.v1 Ji, S.; Wang, J.; Weng, D.; Chen, W. Detailed GNSS Observation Noise Assessment Based on Ultra-Short Baseline. Preprints 2024, 2024050566. https://doi.org/10.20944/preprints202405.0566.v1
Abstract
Assessing observation noise is a critical step in the development of a stochastic model for GNSS navigation and positioning. This process ensures that the statistical properties of the observational data are accurately characterized, leading to more reliable and precise positioning results. Traditionally, the one sigma values for observation noise, 0.3 m for code and 3 mm for carrier phase, alongside elevation-dependent weighting schemes, have been standard. However, these may no longer be suitable due to significant advancements in GNSS systems, receivers, and antennas. Previous research predominantly focused on code type and PPP techniques, often limited by the inability to separately assess observation types across different frequency bands due to ionospheric delay. Furthermore, these studies were generally constrained by limited experimental data. This research advocates for the use of ultra-short baselines to eliminate atmospheric delay and other error sources, providing a detailed assessment of observation noise for various frequency bands, GNSS systems, and receiver & antenna types over an extensive period and across multiple baselines. The findings suggest a need to reconsider traditional one sigma values and elevation-dependent weighting schemes for current applications.
Keywords
GNSS; data quality; ultra-short baseline; elevation-dependent weighting scheme; signal-to-noise ratio
Subject
Environmental and Earth Sciences, Space and Planetary Science
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Comments (0)
We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.
Leave a public commentSend a private comment to the author(s)
* All users must log in before leaving a comment
