Wideband Substrate Integrated Waveguide Antenna for Full-Duplex Systems
Bibliographic record
Abstract
In this letter, a low-profile and wideband substrate integrated waveguide (SIW) antenna is proposed and validated for full-duplex systems. The proposed antenna operates at 4.9 and 5.8 GHz wireless local area network bands. Each resonator of the antenna consists of a modified half-mode SIW (HMSIW) cavity, and excited by a 50$\Omega$coaxial probe. The wideband response is achieved by coupling the fundamental${\rm TE}_{10}$mode with the perturbed${\rm TE}_{10}$mode of the HMSIW cavity. The compactness of the proposed design is obtained using two rectangular slots near the closed-ends of the cavities. By properly optimizing the overall geometry, the proposed design exhibits a 10 dB fractional bandwidth of 8.2% (4.78–5.2 GHz) and 7.7% (5.70–6.16 GHz) in the lower (4.9 GHz) and upper (5.8 GHz) frequency bands, respectively. The bandwidths of both frequency bands can be controlled by adjusting the coupling between modes. A high isolation ($>$30 dB) between the two ports is observed due to series of metallic vias between them. This antenna has compact size (0.007$\lambda _{g}^{3}$) with high gains of 5.24 and 5.37 dBi at 4.9 and 5.8 GHz, respectively. The proposed design is suitable for emerging full-duplex systems, thanks to its small size, high isolation, wide bandwidth, and independent resonance and bandwidth control.
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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 | 0.001 |
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".