Design of Corrugated Horn Antenna for LEO Satellite Feeding System: Efficient Hybrid Optimization Approach
Why this work is in the frame
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Bibliographic record
Abstract
Low Earth Orbit (LEO) satellites are receiving fresh interest from the wireless communications society. The transceivers on these satellites require high-gain antennas with consistent performance over the operational spectrum. Corrugated horn antennas are the most typical feed used in such systems. Furthermore, several satellite systems use dual-polarized antennas to provide polarisation variety. However, simulating the full satellite feed transceiver is a time-consuming task. This paper presents a revolutionary hybrid technique that combines real-measured data with simulation tools to reduce the optimization time for the entire system while providing more accurate and robust results. This optimized design is fabricated using a CNC lathe machine with ±0.002 inches accuracy. The fabricated prototype is measured in an anechoic chamber, where the measured results are in good agreement with the simulated ones.
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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