Path Loss Measurements With Low Antennas For Segmented Wideband Communications at VHF
Bibliographic record
Abstract
This paper reports path loss modelling results based on quasi-simultaneous wideband channel measurements at the VHF frequencies 37.8, 57.0, and 77.5 MHz. The measurements were conducted with low antenna heights (2 m) for both the fixed and mobile terminals and are therefore considered applicable to tactical network communication scenarios. For the area surveyed, the least squares fit to the basic log-distance model yielded path loss exponents in the range of 3.0 to 3.6 and shadowing standard deviations between 3.3 and 4.6 dB. In addition, shadowing cross-correlation coefficients among the three bands were found to be in the range of 0.61 to 0.72, the inclusion of which permits a simple, multiband joint statistical path loss model. The sensitivity of model parameter estimates to the choice of spatial averaging interval is also examined
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".