A New Corner-Reflector Antenna With Tunable Gain Based on Active Frequency Selective Surfaces
Bibliographic record
Abstract
A new corner-reflector antenna with a tunable gain based on active frequency selective surfaces (AFSSs) is presented. The proposed design comprises a dipole antenna as a source of the electromagnetic (EM) waves, and three reconfigurable AFSS layers of different size arranged at the same side of the dipole. Each screen consists of two AFSS panels that connected in series and rotated towards the feed to form a V-shaped corner reflector. These AFSS layers are mainly used to control the transmission/ reflection characteristics of the proposed antenna. By applying different combinations for ON/OFF states of diodes, the proposed antenna can adjust its gain value. The antenna performance in terms of reflection coefficient, radiation pattern in the H-plane and gain is analyzed at 5.8 GHz. To validate the concept of the proposed antenna, the prototype of the proposed antenna is fabricated and measured. The measured results show a good agreement with the simulated ones.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".