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Record W2041006655 · doi:10.1002/mop.20806

23‐GHz low‐noise amplifier using parallel feedback in 0.18‐μm CMOS

2005· article· en· W2041006655 on OpenAlexaff
Brian Frank, Maruf Hossain, Yahia M. M. Antar

Bibliographic record

VenueMicrowave and Optical Technology Letters · 2005
Typearticle
Languageen
FieldEngineering
TopicRadio Frequency Integrated Circuit Design
Canadian institutionsRoyal Military College of CanadaQueen's University
Fundersnot available
KeywordsCMOSAmplifierLow-noise amplifierLinearityNoise figureElectrical engineeringBandwidth (computing)MicrowaveElectronic engineeringEngineeringAmplifier figures of meritOptoelectronicsPhysicsTelecommunications

Abstract

fetched live from OpenAlex

Abstract A three‐stage low‐noise amplifier (LNA) fabricated in a standard 0.18‐μm CMOS process (fT= 45 GHz) with a maximum gain of 18 dB at 23.2 GHz and a 5.8‐dB noise figure is presented. Parallel feedback between the gate and drain is used in all three stages. This configuration also provides much better linearity than other LNAs presented by resonating out the effect ofCgd. The amplifier has an output‐referred 3rd‐order intercept of 10 dBm, and a 3‐dB bandwidth of approximately 1 GHz. This paper demonstrates that parallel feedback is a viable technique for the design of 20+‐GHz CMOS LNAs. © 2005 Wiley Periodicals, Inc. Microwave Opt Technol Lett 45: 309–312, 2005; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.20806

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.014
GPT teacher head0.218
Teacher spread0.204 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2005
Admission routes1
Has abstractyes

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