Martime radar detection perfromance of fast and slow scan radars using frequency agility
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The relative detection performance of fast scan and slow scan radars utilizing frequency agile waveform transmission is examined. A real, wide bandwidth, sea clutter data set is compressed using a set of contiguous narrowband compression filters to create data sets corresponding to three or ten frequency steps. Both a non-coherent and coherent Kelly detection scheme are implemented and tested. A detection performance advantage is demonstrated for the fast scan configuration for both frequency agile sets under coherent Kelly detection. The non-coherent detector case is less clear-cut with a superior fast scan performance noted for the three frequency agile set but equivalent performance noted for both fast and slow scan rates with the 10 frequency agile set.
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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 it