Analysis of the Impact of Shipborne HFSWR Platform Motion on Doppler Spectrum
Bibliographic record
Abstract
Compared to shore-based High-frequency Frequency Surface Wave Radar (HFSWR), shipborne HFSWR exhibits superior flexibility. However, the forward movement and six-degree-of-freedom motion of the shipborne platform cause changes in the Doppler frequency of the received ship target echo, thereby affecting target detection. To compensate for platform motion and reduce its impact on ship target detection, we theoretically analyze the effects of various six-degree-of-freedom motions from the perspective of Doppler frequency analysis. Firstly, we establish the motion model of the platform. Then, we use these models to simulate the 6 degrees of freedom motion of the platform. Finally, based on the model, the Doppler spectra of ship targets under different platform movements were analyzed. The results showed that the platform movement has a significant impact on the Doppler spectra, leading to changes in the characteristics of the ship target echo.
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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".