A Broadband CMOS Frequency Tripler Using a Third-Harmonic Enhanced Technique
Bibliographic record
Abstract
A third harmonic enhanced technique is proposed to implement a broadband and low-phase-noise CMOS frequency tripler. It nonlinearly combines a pair of differential fundamental signals to generate deep cuts at the peaks of the fundamental waveform, resulting in a strong third harmonic frequency output. This mechanism has inherent suppression on the fundamental and the other harmonics so that only a low-Q high-pass filter on the lossy silicon substrate is applied at the output to further reject the fundamental and the second harmonic frequencies, in contrast to the high-Q filters used in most of the previous tripler designs. The fabricated circuit using 0.18 m CMOS technology is compact and has an input frequency range from 1.7 GHz to 2.25 GHz, or an output frequency range from 5.1 GHz to 6.75 GHz, resulting in about 28% frequency bandwidth. The optimum conversion loss from the tripler is 5.6 dB (27.5% efficiency) at an input power of 2 dBm. The suppressions for the fundamental, second and fourth harmonics in the measurement are better than 11 dB, 9 dB, and 20 dB within an input power range from 2 dBm to 7 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 | 0.001 | 0.001 |
| 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".