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 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.
fundA Canadian funder is recorded on the work.

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.

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), Insufficient payload (model declined to judge)
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 score0.620
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.011
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

Quick stats

Citations18
Published2021
Admission routes2
Has abstractyes

Explore more

Same topicRadio Frequency Integrated Circuit DesignFrench-language works237,207