Frequency Selective Surfaces and Their Applications for Nimble-Radiation Pattern Antennas
Bibliographic record
Abstract
Two different active frequency selective screens are proposed to develop a new class of reconfigurable-agile radiation-pattern antennas. High frequency PIN-Diodes are precisely incorporated into the screens to reconfigure electromagnetic (EM) response of the surfaces imitating blocking-transparent window for the incident EM waves. The DC-feed loading in the first screen and the PIN-Diode parasitic effects are carefully examined to achieve the desired performance. The constraints of DC-feed lines for the first cylindrical screen are also clarified, and then a second surface is proposed to surmount them providing more functionality compared to the first one. The new structure is used to construct a nimble-radiation pattern antenna which introduces an agile configuration by sweeping the radiation pattern over all 360° azimuth angles. Furthermore, it is also able to reconfigure its radiation pattern to an omnidirectional state covering instantaneously the azimuth plane. Measurement and simulation results show that the proposed structures provide reconfigurable-agile radiation patterns over a minimum bandwidth of %10 in terms of matching and desired radiation pattern.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".