A Clutter suppression method based on Doppler-Crossed STAP
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Bibliographic record
Abstract
When using space-time adaptive processing (STAP) for wind farm clutter suppression in certain radar system of high frequency, the complete Doppler is usually used for estimating the clutter covariance matrix (CCM). We notice that the wind farm clutter is symmetrical in Doppler domain. Based on this symmetrical characteristic, a clutter suppression method based on Doppler-Crossed STAP is proposed. We use positive Doppler domain data for negative Doppler domain clutter covariance matrix (CCM) estimation and negative Doppler domain data for positive CCM estimation simultaneously. The results based on typical wind farm clutter data show that, the method based on Doppler-Crossed STAP can get 6dB bigger output signal to clutter plus noise rate than existing methods. Which means the method can suppress the windmill clutter and maximize the output signal at the same time.
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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