High frequency broadband acoustic channel estimation error analysis for St. Margaret's Bay during the UNET06 demonstrations
Bibliographic record
Abstract
A computationally efficient estimator of the channel response function was developed to characterize the underwater acoustic channels adversity to communications for St. Margaret's Bay during the UNET06 demonstrations. The DRDC multimode pipe projector (MMPP) that provided a 185 dB// 1nPa@1m source level at 44 kHz center frequency was allowed to drift approximately 2 meters from the bottom in 70m of the water from the NRL ACDS 8-element vertical array. The receiver array was placed approximately mid water column and doubly spread acoustic channel was estimated from the recorded data sets by an augmented Kalman recursion. The Kalman recursion with a point estimate of the acoustic response function was used to compute channel estimate and covariance function. Analysis of the channel response function and histogram which measures the adversity of response estimation uncertainty relative to ambient noise showed the probing interval of duration of 6.25 seconds at a range of 500m.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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 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".