A consideration of multipath detection in navigation systems
Bibliographic record
Abstract
Abstract Some navigation systems measure the range or the angle by detecting the position of the pulse waveform. They cause some position detection errors, if the multipath wave overlaps with the direct wave with different position and phase. This paper presents a multipath detection method to improve the integrity of these systems. The results of simulation and ground‐based experiment for DME/P are described as an example, which use dual function of time‐of‐arrival detection. Each function is supposed to have a different multipath error characteristic. In addition, its multipath error detection method and application to MLS and GPS are also described. © 2002 Wiley Periodicals, Inc. Electron Comm Jpn Pt 1, 85(11): 52–59, 2002; Published online in Wiley InterScience ( www.interscience.wiley.com ). DOI 10.1002/ecja.1137
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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 | 0.001 | 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".