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Record W3134017091 · doi:10.1109/iws49314.2020.9359976

Non-ideal Continuous Class-E PA Modes for Maximum Efficiency and Maximum Linearity

2020· article· en· W3134017091 on OpenAlexaff
Jorge Virgilio de Almeida, Ke Wu

Bibliographic record

Venue2020 IEEE MTT-S International Wireless Symposium (IWS) · 2020
Typearticle
Languageen
FieldEngineering
TopicAdvanced Power Amplifier Design
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsLinearityTransistorElectronic engineeringWaveformTriodeTopology (electrical circuits)Bandwidth (computing)Power (physics)VoltageElectrical engineeringComputer scienceEngineeringPhysicsTelecommunicationsCapacitor

Abstract

fetched live from OpenAlex

This paper presents the analysis of a class-E PA using an equivalent circuit model based on a look-up table generated by numerical simulation. The proposed methodology allows the direct determination of the drain voltage and current waveforms considering the transistor's triode region, finite switching time, and short-channel and thermal effects on saturation current. The revealed non-ideal space of high-efficient solutions is used to determine the class-E modes for maximum efficiency and maximum linearity. To support the theoretical results, a particular topology is implemented using a 25W-GaN transistor. The experimental results of the manufactured class-E are presented. Over a bandwidth of 2.37-2.41 GHz, the demonstrator has presented efficiency better than 75% with constant 42 dBm of continuous wave power.

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 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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.844
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 science0.0010.000
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 head0.012
GPT teacher head0.237
Teacher spread0.225 · 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 teacher head, not a consensus.

Study designSimulation or modeling
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

Citations0
Published2020
Admission routes1
Has abstractyes

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