Flight Results of GPS-Based Attitude Determination for the Canadian CASSIOPE Satellite
Bibliographic record
Abstract
The paper presents attitude determination results of the ”GPS Attitude, Positioning and Profiling Experiment” (GAP) on board the CASSIOPE satellite using real flight data. The GAP payload consists of five minimally-modified commercial-offthe-shelf NovAtel OEM4-G2L receivers, which provide dual-frequency GPS measurements and allow for attitude and orbit determination of the satellite. To the authors’ knowledge, the CASSIOPE mission is the first space mission that provides dualfrequency observations for attitude determination. The data has been analyzed with a GPS attitude determination algorithm originally developed for the analysis of data from the ”Flying Laptop” mission. The paper presents attitude determination results for real flight data from the GAP experiment on the CASSIOPE satellite. The GPS-based solution for selected attitude maneuvers is compared to a reference orientation provided by the satellite’s star sensors. Furthermore, an analysis of the typical time-to-first-fix (TTFF) of attitude solution is provided. The advantage of dual-frequency ambiguity fixing compared to single-frequency will be assessed.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.004 | 0.001 |
| 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 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".