Design and Packaging of an Eye-Shaped Multiple-Input–Multiple-Output Antenna With High Isolation for Wireless UWB Applications
Bibliographic record
Abstract
This paper presents a bandwidth enhanced, compact, multiple-input-multiple-output (MIMO) antenna with high isolation for modern wireless ultrawideband (UWB) applications. The proposed antenna consists of two simple eye-shaped slot radiators, and in order to enhance isolation, the proposed antenna uses a rectangular-shaped ground plane with an extruded T-shaped stub. The antenna characteristics such as the S-parameters, realized gain, surface current distributions, and radiation patterns are investigated. Furthermore, the diversity performance of MIMO antenna in terms of envelope correlation coefficient (ECC), diversity gain (DG), total active reflection coefficient (TARC), and multiplexing efficiency is also studied. The designed antenna shows the impedance bandwidth of 17.2 GHz (from 2.8 to 20 GHz) with a compact size of 18 × 36 mm2. The antenna possesses a low mutual coupling of less than -20 dB over the operating band, the ECC and the DG are less than 0.02 and greater than 9.95 dB, respectively. The prototype is fabricated and tested for impedance and radiation characteristics. The proposed antenna when installed on a printed circuit board with a standard size, with USB connector, and device housing and various other types of housing show good performance. The proposed MIMO/diversity antenna can be a good candidate for portable UWB 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) | 0.001 | 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 | 0.001 | 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".