Construction and accuracy evaluation of GPS/VRS positioning system with a multiple reference station network
Bibliographic record
Abstract
Multiple reference station networks have been established for high precision applications in many countries worldwide.However,real-time application is still a difficult task in practice.The virtual reference station (VRS) is an efficient method for the network users to perform RTK positioning.With the availability of GPRS or CDMA technology,an Internet-based VRS RTK positioning infrastructure has been developed and tested.This paper discusses the construction of GPS/VRS positioning system in Chengdu,China,which has been designed to offer centimeters magnitude service for potential public users located within the coverage.To make sure that the users within the reference station network can operate consistently at greater distances without degrading accuracy and to provide a reliable real-time kinematic positioning,field tests are presented to evaluate the performance of the system.The results demonstrate that Internet-based VRS RTK positioning can be achieved to better than 2.5 centimeters in horizontal position,and the height accuracy is in the range of 1 to 4.5 centimeters within the network.Distance-dependent errors,e.g.the ionospheric and troposhpheric delay errors,cannot been modeled effectively when rover receiver goes outside the reference-station-network coverage,especially for 120km or further from the network center,and the positioning accuracy degrade to decimeters.
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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".