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Record W2761710811 · doi:10.1109/mwsym.2017.8058696

Harmonically engineered and efficiency enhanced power amplifier design for P3dB/back-off applications

2017· article· en· W2761710811 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
TopicAdvanced Power Amplifier Design
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsAmplifierWaveformGallium nitridedBmPower (physics)VoltageElectronic engineeringElectrical engineeringPower factorPower-added efficiencyModulation (music)RF power amplifierComputer scienceMaterials scienceEngineeringPhysicsAcousticsCMOS

Abstract

fetched live from OpenAlex

The paper extends the concept of waveform shaping for back-off applications which can be applied to realize power amplification sub-blocks in load modulation based power amplifiers. The proposed theory starts with deriving the intrinsic current and voltage waveforms as a function of output power back-off factor. Thereafter, a design methodology is proposed to optimize the performance of power amplifier for back-off requirements within a limit of 3 dB gain compression. For experimental validation, the implementation is carried out using a 1.95 mm gallium nitride (GaN) die. The single-ended PA is designed to operate as a carrier PA in a 35 dBm average asymmetric Doherty configuration (44 dBm peak power). The PA exhibits a drain efficiency of 78% at an average output power of 35 dBm at a frequency of 2.6 GHz.

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: Methods · Consensus signal: none
Teacher disagreement score0.786
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)0.0000.000

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 head0.025
GPT teacher head0.266
Teacher spread0.241 · 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

Citations13
Published2017
Admission routes1
Has abstractyes

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