Novel substrate integrated waveguide (SIW)-based power amplifier using SIW-based filter to suppress up to the fourth harmonic
Bibliographic record
Abstract
In this paper, a novel 10W substrate integrated waveguide (SIW)-based GaN HEMT power amplifier (PA) using SIW-based filter in both input and output matching networks to suppress up to the 4thharmonic of 2.14 GHz is analyzed, fabricated, and tested. By connecting two SIW-based stubs with one microstrip-based stub, applying the cutoff frequency characteristic of post-wall waveguide structure, the SIW-based filter which can suppress up to the 4thharmonic of 2.14 GHz is achieved. With measured result, the insertion loss of the 2nd, 3rd, and 4thharmonics of 2.16 GHz is better than 33 dB, 15 dB, and 20 dB, respectively. Using this proposed SIW-based filter in both input and output matching networks to suppress harmonic components, one SIW-based PA designed at 2.14 GHz is fabricated and tested. Measured results show that, the maximum power added efficiency (PAE) is 61.4% with output power 39.1 dBm at 2.14GHz. The measured maximum gain is 16.1 dB with output power 33.6 dBm.
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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 | 0.001 |
| 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".