A Cavity RCS Measurement Method Based on Microwave Imaging Extraction
Bibliographic record
Abstract
The cavity scattering brought by the inlet is an important scattering source of the stealth UAV, so obtaining the scattering characteristics of the cavity target in the installed state is an important topic for the stealth performance test of the UAV. After installation, the cavity target is wrapped inside the aircraft, and its outer surface does not produce scattering contribution. In order to effectively eliminate the scattering from the external surface of the cavity and obtain the accurate scattering characteristics inside the cavity, the algorithm of microwave imaging reverse RCS is applied to the test of the cavity in this paper. After the cavity is imaged by ISAR, the method removes the strong scattering region of the outer wall of the cavity, so as to obtain a new ISAR image. Moreover, it integrates the new ISAR image to obtain the echo information inside the cavity under the installed state. The simulation results show that this method can effectively eliminate the scattering from the outer wall of the cavity and evaluate the inlet RCS of UAV at large incident angle.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".