Improving GNSS carrier-phase tracking via oscillator g-sensitivity compensation
Bibliographic record
Abstract
In this paper the influence of oscillator g sensitivity on carrier-phase tracking performance in a global navigation satellite-system receiver is examined. It is illustrated that the local oscillator can be a limiting factor in the tracking threshold when the receiver is subject to pedestrian or vehicular dynamics. A novel feed-forward compensation technique is presented, which draws upon the inertial measurement unit resources of the receiver to alleviate these detrimental oscillator-based effects. Performance evaluation considered live global navigation satellite-system signals, a range of consumer-grade oscillators, and both high-quality and Microelectromechanical systems (MEMS)-grade inertial measurement units, in both pedestrian and vehicular operating environments. The results show that the process-noise spectral density corresponding to the signal acceleration state of the Kalman-filter-based tracker can be reduced significantly with compensation. It is also shown that three-dimensional velocity error reduces from 0.17 to 0.06 m/s with compensation.
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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".