Enhanced isolation of<scp>MIMO</scp>cavity antenna using substrate integrated waveguide technology
Bibliographic record
Abstract
Abstract In this paper, a cavity‐backed semi‐circular antenna with rectangular slot for MIMO (multiple‐input multiple‐output) systems is presented. The proposed MIMO antenna comprises two rectangular slots etched on the ground plane and excited by two microstrip transmission lines. The substrate integrated waveguide (SIW) is integrated to enhance the isolation between the two antenna elements. The obtained results show that the antenna operates around 5.8 GHz with an impedance bandwidth between 5.65 and 5.9 GHz, withS11 ≤ −10 dB, which is suitable for WLAN (wireless local area networking) applications. The fractional bandwidth of the reference MIMO antenna is 4.13%, while for the SIW MIMO case attains 4.31%. Moreover, the integration of SIW resonators leads to an enhancement of the isolation from 17.7 dB (reference antenna) to 30 dB. The achieved gain is about 5.6 dBi at the resonance frequency 5.8 GHz. The envelope correlation coefficient (ECC) is lower than 7 × 10−5across the operating bandwidth. The simulated results are in good agreement with the experimental ones. The fabricated antenna exhibits very acceptable radiation performances compared to the conventional one.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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".