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Record W1999609308 · doi:10.1109/tmtt.2005.860897

Distortion in RF CMOS short-channel low-noise amplifiers

2006· article· en· W1999609308 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIEEE Transactions on Microwave Theory and Techniques · 2006
Typearticle
Languageen
FieldEngineering
TopicRadio Frequency Integrated Circuit Design
Canadian institutionsMcGill University
Fundersnot available
KeywordsIntermodulationCMOSTotal harmonic distortionElectronic engineeringAmplifierDistortion (music)Volterra seriesTransistorLow-noise amplifierElectrical engineeringNonlinear distortionEngineeringNoise figureCommon gatePhysicsVoltageNonlinear system

Abstract

fetched live from OpenAlex

An approach to estimate the distortion in CMOS short-channel (e.g. 0.18-/spl mu/m gate length) RF low-noise amplifiers (LNAs), based on Volterra's series, is presented. Compact and accurate frequency-dependent closed-form expressions describing the effects of the different transistor parameters on harmonic distortion are derived. For the first time, the second-order distortion (HD2), in CMOS short-channel based LNAs, is studied. This is crucial for systems such as homodyne receivers. Equations describing third-order intermodulation distortion in RF LNAs are reported. The analytical analysis is verified through simulations and measured results of an 0.18-/spl mu/m CMOS 5.8-GHz folded-cascode LNA prototype chip geared toward sub-1-V operation. It is shown that the distortion is independent of the gate-source capacitance C/sub gs/ of the MOS transistors, allowing an extra degree of freedom in the design of LNA circuits. Distortion-aware design guidelines for RF CMOS LNAs are provided throughout the paper.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.794
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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 head0.008
GPT teacher head0.206
Teacher spread0.199 · 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