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Record W4293863429 · doi:10.1109/siu55565.2022.9864903

5W Linear Power Amplifier Design for 5 – 6 GHz Applications

2022· article· en· W4293863429 on OpenAlex
Sadik Dogan Erdogan, Oğuzhan Kızılbey, Serkan Topaloğlu, Osman Palamutçuoğulları

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

Venue2022 30th Signal Processing and Communications Applications Conference (SIU) · 2022
Typearticle
Languageen
FieldEngineering
TopicAdvanced Power Amplifier Design
Canadian institutionsStantec (Canada)
Fundersnot available
KeywordsAmplifierLinearityRF power amplifierElectrical engineeringMaterials scienceHigh-electron-mobility transistorPower-added efficiencyTransistorLinear amplifierPower bandwidthElectronic engineeringOptoelectronicsEngineeringCMOSVoltage

Abstract

fetched live from OpenAlex

In this study, class F amplifier is designed and simulated for RF applications with high linearity in the 5-6 GHz band range. 2-way amplification method was used for the implementation. The input signal is transferred to the amplifier circuits after splitting with Wilkinson power divider. The amplified power in the two arms is then collected by the Gysel power combiner and given to the output. The simulations were made in the AWR Microwave Office program on Rogers RT/Duroid 5870 dielectric material with a thickness of 0.78 mm and a dielectric constant of 2.33. Gallium Nitrite HEMT type CREE CGH40006P transistor was used in the design. As a result of the simulation, the at least 11 dB power gain across the band was obtained with 30% power added efficiency and approximately 37 dBm output 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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.787
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.046
GPT teacher head0.287
Teacher spread0.240 · 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