FSS-Based Spatially Decoupled Back-to-Back Four-Port MIMO DRA With Multidirectional Pattern Diversity
Bibliographic record
Abstract
This letter presents a frequency selective surface (FSS)-based four-port multiple-input-multiple-output cylindrical dielectric resonator antenna (cDRA) system that supports multidirectional pattern diversity characteristics. The back-to-back arrangements of the cDRA as well as the use of an FSS are some of the features of the proposed antenna design. The cDRAs are positioned over a substrate through a common ground plane. The top side has two oppositely faced cDRAs that are excited with the help of ports-1 and 2, via coplanar waveguide-fed conformal striplines. Similar cDRA orientations also exist at the bottom side and are excited by microstrip-line-fed conformal striplines through ports-3 and 4, respectively. To improve isolation and correlation, similar phase-gradient FSSs are placed at the two sides of the substrate. As a result, four diverse radiation patterns are obtained from four ports, which ensure multidirectional pattern diversity characteristics of the proposed antenna. The proposed technique offers more than 10 dB and 75% improvement in isolation and correlation values, respectively. By observing the measured results, it is confirmed that the proposed structure is useful for WLAN access point (5.15-5.35 GHz) applications.
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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 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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".