Digitally-Assisted 27-33 GHz Reflection-Type Phase Shifter with Enhanced Accuracy and Low IL-Variation
Bibliographic record
Abstract
This paper presents a new millimeter-wave 360odigitally-assisted reflection-type phase shifter (DA-RTPS). It is composed of a cascade of three compact, low-loss and fully-differential transformer-based hybrid couplers with two of their ports terminated by switch-controlled capacitor banks. Each stage is configured to produce a phase change of up to 60°. An additional phase inverting stage is used to attain 360° of phase shift. The proposed DA-RTPS arrangement enabled low insertion loss (IL) variation and enhanced phase accuracy compared to single-stage RTPS-based typologies. A proof-of-concept prototype, implemented using 45nm silicon-on-insulator CMOS technology, demonstrated a 1-dB RF bandwidth spanning from 27 to 33 GHz, a low root-mean-square phase error of 0.3°, and an IL of 6.8 dB±0.25dB, while covering 360° of phase shift at 5.6°resolution. Furthermore, it maintained a group delay below ±12ps and an input 1dB compression point >7.3 dBm at all phase-shift settings between 27 and 33 GHz.
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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 | 0.001 |
| 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".