A 5–18-GHz Reconfigurable Quadrature Receiver With Enhanced I–Q Isolation and 100–500-MHz Baseband Bandwidth
Bibliographic record
Abstract
A wideband reconfigurable quadrature receiver with the range of 5–18-GHz frequency coverage and 100–500-MHz analog baseband bandwidth is proposed in this article. The low-noise front end utilizes a capacitor assisting triple-winding transformer (CTTF) to expand bandwidth and suppress noise. An injection-locked oscillator driven by a delay-locked loop is used to generate the quadrature clocks without using the divider and the associated high-frequency clock. The hybrid baseband filter consisting of passive RLC and active-RC biquad simultaneously achieves high linearity and flexible gain/bandwidth adjustments. The analog baseband circuitry employs a feedforward compensated transconductance amplifier that greatly relaxes the power-bandwidth trade-off. To mitigate the impact of complex and frequency-dependent quadrature error (I–Q mismatch) arising from I-to-Q clock overlap, the receiver applies separate RF-$G_{m}$to drive I and Q passive mixers. Fabricated in a 28-nm CMOS process, the proposed receiver exhibits a noise figure of 2.1–5.4-dB and 30–72-dB adjustable conversion gain, >20-dBm in-band OIP3, >16-dBm out-of-band OIP3 with a total power consumption of 104–199-mW at 1-V supply.
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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 | 0.001 |
| 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".