A New CMOS Wideband RF Front-End For Multistandard Low-IF Wireless Receivers
Bibliographic record
Abstract
A wideband radio-frequency (RF) receiver front-end is designed in 0.18 /spl mu/m CMOS technology with a new linearization technique that makes the circuit suitable for operating at low supply voltage. The proposed front-end circuit includes an input low noise wideband amplifying stage (LNA) of new configuration with output linearized transconductance stage, and a switching stage. Dual-loop resistive feedback applied around the LNA allows one to achieve input wideband matching. Linearity is enhanced by attenuating the effective transconductance of the transconductance stage. With an RF input signal of 1.9 GHz, the proposed front-end circuit exhibits 15.5 dB conversion gain, 7.2 dB SSB noise figure, -11.2 dBm 1-dB compression point, and -1.5 dBm third-order input intercept-point (IIP3) in simulations. The input wideband matching to 50 /spl Omega/ is achieved with -3 dB bandwidth of around 3 GHz. The input return loss (S11) varies from -26 dB to -10.5 dB in the frequency range of DC to 3.5 GHz. The proposed front-end consumes 22.3 mA DC current from 1.8 V supply voltage and occupies an area of 0.9/spl times/0.85 mm/sup 2/.
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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) | 0.001 | 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) | 0.004 | 0.003 |
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".