Global Navigation Satellite System Based Coarse Attitude Determination on Small Satellites
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 operation of attitude sensors on small spacecraft may be limited by unfavorable environmental characteristics or operating scenarios, reducing attitude estimate accuracy. To counter this, a single Global Positioning System (GPS) antenna on the spacecraft can be augmented to function as a coarse attitude sensor, providing additional measurements to supplement missing sensor data without adding mass, volume, or power requirements to the spacecraft. This technique is also interesting, as typical means of GPS attitude determination utilize multiple GPS antennas. In this work, carrier to noise density ration (C/N0)measurements from a GPS receiver are incorporated with commonly used attitude sensors within an extended Kalman filter to improve the accuracy of attitude estimates. This filter is evaluated using simulated three-axis magnetometer, sun sensors, and GPS measurements created from attitude telemetry from the Space Flight Laboratory (SFL) CanX-5 nanosatellite currently in orbit. Results show that under eclipse conditions where the estimator was denied sun sensor measurements, using GPS C/N0 measurements to supplement correction increased attitude estmiate accuracy by two to three times than when the spacecraft is limited to using magnetometer measurements alone. Further evaluation with flight data indicates estimate accuracy is dependent on the accuracy and precision of available C/N0 measurements.
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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 | 0.001 |
| 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 it