A First-Order HF Radar Cross-Section Model for Mixed-Path Ionosphere–Ocean Propagation With an FMCW Source
Bibliographic record
Abstract
A theoretical model of the first-order high-frequency (HF) radar cross section (RCS) for the ionosphere-ocean propagation involving a frequency-modulated continuous wave (FMCW) source is presented in this paper. Based on previous modeling involving the scattering of HF electromagnetic radiation from the ocean surface, an expression for the first-order electric field with an FMCW source is derived for the mixed-path case in which scattering occurs from both the ionosphere and the ocean surface. Then, this field is Fourier transformed and the frequency distribution of the demodulated electric field indicates range information of the ionosphere-ocean propagation. Subsequently, the first-order RCS is developed by assuming the ocean surface and the ionosphere are stochastic processes. To investigate the power spectrum of this ionospheric-clutter mode and its relative intensity to that of the ocean clutter, a normalized ionospheric-clutter power is simulated. Numerical simulation results are first compared with that of a pulsed radar for the same ocean scattering patch. Subsequently, it is shown how the ionosphere velocities and wavelengths, and wind directions affect the power spectrum for this ionosphere-ocean propagation.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".