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Record W1964528458 · doi:10.1109/rws.2014.6830163

Three-way Doherty power amplifier for efficient amplification of wideband signals with extended PAPR

2014· article· en· W1964528458 on OpenAlexaff
Hamed Golestaneh, Foad Arfaei Malekzadeh, Slim Boumaiza

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced Power Amplifier Design
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsAmplifierWidebandAdjacent channeldBcBandwidth (computing)dBmElectronic engineeringElectrical engineeringLinearizationAdjacent channel power ratioPower (physics)Computer scienceEngineeringTelecommunicationsRF power amplifierPhysicsCMOSNonlinear system

Abstract

fetched live from OpenAlex

This paper deals with three-way Doherty power amplifiers (3W-DPAs) as a viable solution for wideband high-efficiency amplification of multi-standard signals. A methodology is presented to design a 3W-DPA with maximal bandwidth. This methodology was successfully applied to design a 30-W GaN 3W-DPA with a measured average drain efficiency of 55% at an output back-off of up to 9 dB, over the frequency range of 0.73–0.98 GHz. The 3W-DPA was driven with a four-carrier wideband code division multiple access (WCMDA) signal with 20-MHz bandwidth and 11.7-dB peak-to-average power ratio (PAPR) at 830 MHz. Power added efficiencies of 47% was measured at 32 dBm average output power, with an adjacent channel leakage ratio (ACLR) of −48 dBc after linearization.

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 science0.0010.000
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 head0.013
GPT teacher head0.226
Teacher spread0.214 · 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

Citations5
Published2014
Admission routes1
Has abstractyes

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