A 0.1–20.1-GHz Wideband Noise-Canceling g<sub>m</sub>-Boosted CMOS LNA With Gain-Reuse
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Bibliographic record
Abstract
This article presents a novel wideband low-noise amplifier (LNA) topology that incorporates noise cancellation in a <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$g_m$</tex-math> </inline-formula> -boosted common gate (CG) LNA by reusing the inverting amplifier used for <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$g_m$</tex-math> </inline-formula> -boosting as a parallel gain stage A <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$g_m$</tex-math> </inline-formula> -boosted CG stage provides the wideband input matching while the current reuse (CR) inverting amplifier is simultaneously used for boosting <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$g_m$</tex-math> </inline-formula> , improving gain, and canceling noise. Shunt and series inductive peaking techniques are implemented to extend the bandwidth of the LNA. The LNA is fabricated in Taiwan Semiconductor Manufacturing Company (TSMC) 65-nm CMOS process and occupies a die area of 0.263 mm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> . The measurement results indicate the combination of these techniques produces an LNA with a 20-GHz bandwidth, an average gain of 12 dB, an average noise figure (NF) of 3.87 dB, and a 2.53-dBm peak input-referred third-order intercept point (IIP3) while consuming 13.2 mW at 1.2 V, resulting in the highest figure of merit (FoM) among the reported state-of-the-art LNAs.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
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Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
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