DGPS RTK Positioning Using a Reference Network
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
This paper describes the design, operation and testing of a RTK GPS system based on the use of a multireference station approach. The use of a multireference station network, as opposed to a single reference station, results in a larger service area coverage, a lower number of reference stations, increased robustness, and a higher positioning accuracy. The effective distance to the nearest reference station required to resolve the carrier phase ambiguities increases by a factor of 1.5 to 3. Carrier phase observable errors in the coverage area are modeled using the differential carrier phase observables between the reference stations. Corrections that are generated in real-time using the reference station network are broadcast to mobile users. Differential errors such as that caused by ionospheric activity can be more effectively modeled. A series of real-time tests conducted using a regional reference network in Japan and a local reference network in Calgary, demonstrate the effectiveness of the approach.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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 | 0.000 |
| Open science | 0.002 | 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