Electronically reconfigurable uni‐planar antenna for cognitive radio applications
Bibliographic record
Abstract
A single port, electronically reconfigurable, uni‐planar antenna for cognitive‐radio (CR) systems is presented. This design effectively merges the time‐domain properties of tapered slot antennas with uni‐planar nature of coplanar waveguide (CPW). Two tapered slot antennas were excited through a CPW, which is embedded with a PIN diode controlled band‐pass filter. The prototype fabricated on Rogers ® RO3006 high‐frequency laminate with dielectric constant 6.5, loss tangent 0.002 and thickness 1.28 mm facilitates S 11 < −10 dB bandwidth from 1.6 to 6.0 GHz in the wide‐band mode and 3.39 to 3.80 GHz in the narrow‐band mode. The measured radiation characteristics show that the design is suitable for CR applications, in which a wide‐band antenna is used for spectrum sensing and a narrow‐band antenna for transmission. In addition, the measured time‐domain characteristics of the antenna including group delay, impulse response and fidelity factor are presented. These indicate that the proposed antenna can also be used for microwave imaging devices that are connected to the host through high‐speed worldwide interoperability for microwave access terminals. Finally, to assist antenna engineers working on industrial design, the housing effect on the prototype was also studied experimentally in frequency and time domains.
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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 | 0.000 | 0.000 |
| Open science | 0.001 | 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".