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Record W2069217401 · doi:10.1109/icecs.2014.7050075

Design methodology of high efficiency continuous mode transfer power amplifiers with one octave bandwidth

2014· article· en· W2069217401 on OpenAlexaff
Tushar Sharma, Ramzi Darraji, Fadhel M. Ghannouchi

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced Power Amplifier Design
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsBroadbandAmplifierBandwidth (computing)WidebandElectronic engineeringGallium nitrideWaveformComputer scienceElectrical engineeringEngineeringMaterials scienceTelecommunicationsVoltage

Abstract

fetched live from OpenAlex

This paper discusses a methodology for design of broadband power amplifiers (PA's). In comparison to conventional class-F and inverse class-F modes, the continuous mode provides wider design space for the realization of broadband efficiency PAs through the proper termination of fundamental, second and third harmonic impedances. This manuscript presents an approach based on in-band mode transfer between continuous inverse class-F and continuous class-F to allow for the realization of high efficiency PAs with upto one octave bandwidth. The validation of this mode transfer concept is performed using a 10-W Gallium Nitride (GaN) device. The PA, which was designed in Advanced Design Systems, exhibited a drain efficiency of greater than 60%, a power gain higher than 13 dB, and an output power of more than 10W over the frequency band ranging from 460 to 920 MHz, which corresponds to one octave bandwidth or 67% of fractional bandwidth.

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: Methods · Consensus signal: Methods
Teacher disagreement score0.002
Threshold uncertainty score0.006

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 science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.029
GPT teacher head0.239
Teacher spread0.210 · 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
GenreMethods

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

Citations3
Published2014
Admission routes1
Has abstractyes

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