Time-Domain Motion Compensation of HF-Radar Doppler Spectra for an Antenna on a Moving Platform
Bibliographic record
Abstract
The effect of sinusoidal platform motion on the first- and second-order high-frequency radar cross-sections per unit area was derived for the monostatic case in the works of Walsh et al. [1]-[2], and more recently for a dual-frequency platform motion model, as well as for a bistatic configuration, in the works of Ma et al. [3]-[4] In all these works, the cross-sections on a floating platform were expressed as a Doppler-domain convolution of the fixed radar cross-section with an infinite weighted sum of Bessel functions of the first kind. Herein, the effect of platform motion is more easily expressed as the product of the time-domain radar cross-section per unit area and a single zeroth-order Bessel function of the first kind for each frequency component of the platform motion. A representative result using this new expression, shows that motion compensation may be performed exactly up to numerical error in the time domain by performing division on the autocorrelation of the received electric field by a known function in the time-domain dependent on the periodic platform motion.
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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".