Multifunctional Antenna-Filter/Polarization Converting-Antenna Metamaterial Featuring Wideband Tx/PC/Rx Behavior
Bibliographic record
Abstract
This paper presents a multifunctional metamaterial based on an antenna-filter/polarization converting-antenna (A-F/ PC-A) module array, that could provide ultra-wideband transmission (Tx), polarization conversion (PC), and reflection (Rx) responses for two polarizations through six active modes. Reconfigurable receiving and radiating antenna arrays are elaborately designed to enable this system could operate under arbitrarily linear polarized waves. Moreover, to further facilitate the polarization manipulation between the receiving and radiating antennas arrays, while providing a good impedance matching for each operating mode, an improved active filter array with strong coupling mode and PC mode is proposed. Attributing to the proposed second-order structure, high-transmittance windows (the minimum insertion loss is 0.1 dB) with a −3 dB fractional bandwidth of 66.7% are realized in the Tx mode. Within this passband, the polarization characteristics and transmission state of the incidence electromagnetic wave can be flexibly modulated. In the PC mode, the relative bandwidth with a polarization conversion rate (PCR) of more than 90% reaches 55.6%. When switching to Rx mode, the structure acts as an effective electromagnetic shield with the transmission coefficient below -10 dB throughout the operating band. Finally, a prototype is fabricated for measurements, and the calculated, simulated, and measured results validate the proposed design.
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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 | 0.000 | 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".