Ionospheric Correction and Ambiguity Resolution in DGPS with Single Frequency
Bibliographic record
Abstract
The free electron distributed in the atmospheric region known as the ionosphere produces a frequency dependent effecton the Global Positioning System (GPS) signals, a delay in the pseudorange and advance in the carrier phase. Theionospheric influence is one of the main problems in the real-time ambiguity resolution for the carrier phase GPS datain radio navigation. Real Time Kinematics (RTK) and Malaysian Active Station (MASS) data from JUPEM (JabatanUkur dan Pemetaan Malaysia) were used in this analysis. In this study, the effects of initial phase ambiguity at GPS andmodeling of ionosphere on base components were researched. To overcome this problem, a correction ionosphericmodel was used. This correction model could be implemented in single frequency measurements with similar accuracy,which can be obtained from dual frequency.
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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 | 0.000 |
| 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".