MétaCan
Menu
Back to cohort
Record W3208136885 · doi:10.1109/ims19712.2021.9574811

A 60 GHz CMOS-SOI Stacked Push-Push Frequency Doubler with 12 dBm Output Power and 20% Efficiency

2021· article· en· W3208136885 on OpenAlexafffund
Mahitab Eladwy, Jingjing Xia, Ahmed Ben Ayed, Slim Boumaiza

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicRadio Frequency Integrated Circuit Design
Canadian institutionsUniversity of Waterloo
FundersArmy Research LaboratoryNatural Sciences and Engineering Research Council of Canada
KeywordsFrequency multiplierCMOSElectrical engineeringVoltage doublerEnergy conversion efficiencydBmExtremely high frequencySilicon on insulatorPower (physics)Radio frequencyElectronic engineeringEngineeringOptoelectronicsComputer sciencePhysicsTelecommunicationsVoltageAmplifierSilicon

Abstract

fetched live from OpenAlex

This paper presents a stacked push-push frequency doubler using an inductive source degeneration technique for generating high power millimeter-wave frequency signals. A balanced second harmonic trapping matching network is also added at the input to enhance the power efficiency. The 60 GHz frequency doubler demonstrator, designed using 45-nm CMOS SOI technology, showed a peak output power of 12dBm, DC-to-RF efficiency of 20%, and a peak conversion gain of 2.1 dB. By applying a low-complexity digital pre-distortion scheme, the designed doubler was successfully used to generate a 200 MHz vector modulated signal with an error vector magnitude of 2.9% and an average efficiency of 12%.

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 score0.001
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)0.0010.001

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 head0.011
GPT teacher head0.193
Teacher spread0.182 · 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

Citations18
Published2021
Admission routes2
Has abstractyes

Explore more

Same topicRadio Frequency Integrated Circuit DesignFrench-language works237,207