Visualized Design of Antenna Decoupling Networks Constructed by Cascaded Coupled Lines
Bibliographic record
Abstract
This paper presents a visualized approach to efficiently designing an antenna decoupling network constructed by cascaded coupled transmission lines (CTLs). The cascaded CTL architecture is explored to decouple tightly-packed antenna pairs with extremely small feed point spacing, circumventing the narrow bandwidth and loss issues associated with resonant decoupling structures. To facilitate the fast CTL design, we propose to analytically map the CTLs’ odd-mode (OM) and even-mode (EM) characteristic impedances onto the Smith charts of the antenna’s OM and EM input impedances. By leveraging this approach, the required CTL’s OM and EM parameters for antenna decoupling can be directly determined without relying on intricate optimization or try-and-error processes. To demonstrate the effectiveness of our methodology, a printed monopole antenna pair with an element center-to-center spacing of merely 0.1λ0(at 3.5 GHz) is prototyped, which presents a 15-dB isolation bandwidth of 18% and a total efficiency exceeding 85% over this bandwidth. The proposed decoupling approach substantially simplifies the design of compact high-isolation antenna pairs which would have important applications in MIMO communication systems.
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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) | 0.001 | 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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".