THE UNIVERSITY OF CALGARY Analysis of NGS CORS Network for GPS RTK Performance Using External NOAA Tropospheric Corrections Integrated with a Multiple Reference Station Approach
Bibliographic record
Abstract
For high-accuracy GPS geodetic applications, the time-variable tropospheric propagation delay errors remain as a major factor limiting GPS RTK positioning accuracy. This thesis evaluates the additional improvement in position accuracy achieved by using the National Oceanic & Atmospheric Administration (NOAA) real-time tropospheric corrections within a multiple reference station network approach; this was compared with results from using a Modified Hopfield tropospheric model, for six scenarios in three geographical regions covered by the U.S. National Geodetic Survey (NGS) Continuous Reference Stations (CORS) network, for baseline lengths of 60~150km. Testing was done on relatively humid days, and for each frequency (L1 & L2) and linear combination (wide-lane, ionospheric-free, geometry-free); the results demonstrated the effectiveness of the network approach in reducing the measurement errors for all observations. Overall test performances showed average 15 % and 19 % improvement, with the Modified Hopfield model, and with the NOAA corrections, respectively. The ionospheric-free linear combination, a measure of tropospheric and orbital errors, showed
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".