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Record W2158271285 · doi:10.1109/iscas.2008.4541905

A CMOS 2.0–11.2 GHz UWB LNA using active inductor circuit

2008· article· en· W2158271285 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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicRadio Frequency Integrated Circuit Design
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsInductorLow-noise amplifierNoise figureCMOSElectrical engineeringAmplifierImpedance matchingWidebandElectronic engineeringElectrical impedanceEngineeringVoltage

Abstract

fetched live from OpenAlex

A fully-active low-noise amplifier (LNA) for ultra-wideband application is presented. Passive on-chip inductor of conventional LNA design is replaced by low-noise active inductor, significantly reducing the total chip area of the proposed CMOS LNA. The core LNA circuit is a cascoded common-source amplifier loaded with an active inductor. Two buffer stages are used to provide the required input and output impedance matching. The amplifier is designed and simulated in 0.13-mum RF CMOS process. It exhibits a forward gain (S21) of 11.2 dB, a noise figure (NF) of 2.2-4.0 dB, and return losses (S11 and S22) of less than -10 dB over the frequency range of 2.0 to 11.2 GHz while consuming only 13.5 mW from a power supply of 1.5 V. The proposed amplifier occupies 0.09 mm of chip area.

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 score0.143
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)0.0010.000

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 head0.064
GPT teacher head0.223
Teacher spread0.159 · 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

Quick stats

Citations20
Published2008
Admission routes1
Has abstractyes

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