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Record W2127586953 · doi:10.1109/lmwc.2006.872128

A 4-mW monolithic CMOS LNA at 5.7GHz with the gate resistance used for input matching

2006· article· en· W2127586953 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 Microwave and Wireless Components Letters · 2006
Typearticle
Languageen
FieldEngineering
TopicRadio Frequency Integrated Circuit Design
Canadian institutionsMcMaster University
Fundersnot available
KeywordsTransconductanceCMOSNoise figurePower gainLow-noise amplifierMOSFETElectrical engineeringElectronic engineeringAmplifierTransistorField-effect transistorEngineeringVoltage

Abstract

fetched live from OpenAlex

Design and measured results of a fully integrated 5.7-GHz CMOS low-noise amplifier (LNA) is presented. To design this LNA, the parasitic input resistance of a metal-oxide-semiconductor field-effect transistor (MOSFET) is converted to 50/spl Omega/ by a simple L-C network, hence eliminating the need for source degeneration. It is shown, by means of compact expressions, that this matching method enhances the effective transconductance of the LNA by a factor that is inversely proportional to a MOSFET's input resistance. The effect of our proposed method on the noise figure (NF) of the LNA is also discussed. With an 11.45-dB power gain and a 3.4-dB NF at 4mW of dc power, the presented LNA achieves the best overall performance when compared with the most recently published LNAs.

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: Empirical
Teacher disagreement score0.032
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 head0.010
GPT teacher head0.184
Teacher spread0.174 · 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