Electronically tunable diplexer for frequency-agile transceiver front-end
Bibliographic record
Abstract
A varactor-based tunable diplexer is proposed and experimentally validated for IEEE802.16 standard-based system applications. The proposed transmit/receive (Tx/Rx) diplexer consists of two tunable dual-mode bandpass filters. Size reduction and band tunability are achieved by using the capacitance of varactors diodes. With two-tone nonlinear characterization test, the diplexer (with higher biased voltage) is found to introduce, in Tx frequency band, a high level of intermodulation product (IIP3). A better insertion loss in passbands is observed for a lower room temperature. Measured insertion loss of our fabricated diplexer is obtained between 5.3 to 2.89 dB and 5.2 to 3.7 dB over the tuning frequency range for the Tx and Rx channels filters bands, respectively. Both filters exhibit better than 40 dB rejection in the passband of its counterpart. The varactors diodes attached to both filters allow 24.5% and 23.3% center-frequency tunability in Tx and Rx filters bands, respectively.
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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 | 0.001 | 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".