Frequency Correlation Modelling for Tactical VHF Channels in Mountainous Terrain
Bibliographic record
Abstract
This paper considers statistical modelling of wideband propagation characteristics in the frequency domain based on the channel's complex frequency correlation function (FCF). Using a large set of wireless propagation measurements taken at 312 MHz in mountainous environments, an assessment of the accuracy with which several FCFs can model tactical VHF propagation scenarios is conducted. It is shown that, while the selected models can do a reasonable job of capturing the channel's frequency dynamics under a smooth decay, rapid oscillations in the FCF believed to arise from clustering of multipath reflections are more difficult to track. As would be expected, models with more free parameters generally provide a superior fit to the measured frequency correlations. To assist with the design and simulation of robust waveforms for these highly time-dispersive environments, coherence bandwidth statistics and model parameter distributions for a simple FCF are reported based on our measurements in three different regions.
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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".