Dual-Band SIW Metasurface Filtering Antenna With High Inter-Band Selectivity
Bibliographic record
Abstract
A highly selective dual-band filtering antenna based on a perturbed substrate integrated waveguide (SIW) cavity and a non-uniform metasurface (MTS) is presented. The structure is compact, only requiring two substrate layers while providing five radiation frequency nulls. The first layer is composed of a filtering cavity which employs the perturbed second- and third-order modes to support the two passbands. The cavity is designed to satisfy the coupling requirements of a filtering doublet, implementing three controllable inter-band transmission zeros (TZ) along with a fourth TZ above the second passband. The second layer employs a non-uniform MTS which acts as an equivalent radiating load. The novel non-uniform MTS is designed to adequately match both passbands providing a high and flat realized gain, improve the higher frequency radiation patterns, retain the intrinsic filtering function and introduce an additional inter-band radiation frequency null. A prototype is fabricated and measured demonstrating two 10 dB fractional bandwidths of 7.9% and 11.0%, each centered around 19 GHz and 27 GHz respectively. The passband’s demonstrate a flat in-band realized gain around 7.7 dB and 9.8 dB respectively. Additionally, both bands exhibit a very sharp roll-off and an inter-band attenuation greater than 26.5 dB due to the four inter-band frequency nulls at 21 GHz, 22 GHz, 23.3 GHz and 25.1 GHz along with an additional frequency null located above the second passband at 29.5 GHz.
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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 | 0.001 | 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".