Results and Analysis of Using the MEDLL Receiver as a
Bibliographic record
Abstract
The Multipath Estimating Delay-Lock-Loop (MEDLL) is a method for mitigating the effects due to multipath within the receiver tracking loops. Recently the MEDLL receiver was modified to output the multipath parameters, hence the name ‘Multipath Meter’. These parameters include the delay, relative amplitude, and phase of the multipath signal along with the residual values for each correlator. The multipath parameters are estimated by the MEDLL and the residuals indicate the quality estimation process. This paper investigates how the Multipath Meter can be used in real-time monitoring of the GPS signal. Using a GPS simulator the MEDLL receiver is tested to determine how accurately the multipath parameters can be measured. Also, data is collected from an antenna location on the roof of the NovAtel facility at Calgary, Alberta, Canada. Two specific situations are focused on: short delay and long delay multipath. Results show that the Multipath Meter is useful for signal quality monitoring and reference site surveys.
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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".