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Record W2075143355 · doi:10.1109/mwscas.2010.5548661

Subthreshold CMOS active inductors with applications to low-power injection-locked oscillators for passive wireless microsystems

2010· article· en· W2075143355 on OpenAlexaff
Yushi Zhou, Fei Yuan

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicRadio Frequency Integrated Circuit Design
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsVoltage-controlled oscillatorInductorPhase noiseCMOSElectrical engineeringPhysicsElectronic engineeringEngineeringMaterials scienceVoltage

Abstract

fetched live from OpenAlex

This paper investigates gyrator-C active inductors in weak inversion. An injection-locked active inductor oscillator in weak inversion designed in IBM-0.13μm 1.2V CMOS technology and analyzed using SpectreRF from Cadence Design Systems with BSIM4 device models. The injection-locking signal is generated using a generic ring oscillator. Simulation results show that the phase noise of the injection-locked active inductor VCO is much smaller as compared with that of the same active inductor VCO but without injection-locking. Also observed is that the phase noise of the injection-locked active inductor VCO is approximately the same as that of injection ring VCO when frequency offset is less than 200 kHz and increases when frequency offset is beyond 200 kHz. The power consumption of the oscillator is 776 nW at 13 MHz. With the proper biasing voltage, the tuning range of active inductor VCO is from 6.5 MHz to 34.6 MHz. The layout area of the injection-locked oscillator including bond pads and an output buffer is 0.67 mm2. The silicon consumption of the core of the oscillator is only 13 μm2.

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: none
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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 communication0.0010.000
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 head0.007
GPT teacher head0.215
Teacher spread0.208 · 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

Citations17
Published2010
Admission routes1
Has abstractyes

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