Composite GNSS Signal Acquisition over Multiple Code Periods
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The new signals employed by modern global navigation satellite system (GNSS) will be characterized by a data/pilot structure and by the presence of secondary codes. These innovations require special acquisition techniques for efficiently recovering all the transmitted power and dealing with the problem of sign transitions. In this paper three integration strategies, noncoherent, semi-coherent, and differentially coherent integrations, are analyzed for the joint acquisition of data and pilot signals over multiple primary code periods. Each strategy is statistically characterized and false alarm and detection probabilities are provided. To the best of our knowledge the characterization and comparison of these algorithms are new. Monte Carlo simulations and real data analysis demonstrate the accuracy of the proposed model.
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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 | 0.001 |
| 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 it