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Record W3135081519 · doi:10.1109/tmtt.2021.3057628

Broadband Doherty Power Amplifier Based on Coupled Phase Compensation Network

2021· article· en· W3135081519 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

VenueIEEE Transactions on Microwave Theory and Techniques · 2021
Typearticle
Languageen
FieldEngineering
TopicAdvanced Power Amplifier Design
Canadian institutionsUniversity of Calgary
FundersResearch Grants Council, University Grants CommitteeNational Natural Science Foundation of China
KeywordsAmplifierBandwidth (computing)WidebandBroadbandElectrical impedanceElectronic engineeringImpedance matchingElectrical engineeringHigh-electron-mobility transistorComputer scienceEngineeringMaterials scienceVoltageTelecommunicationsTransistor

Abstract

fetched live from OpenAlex

In this article, a new technique is presented to dramatically enhance the bandwidth of a postmatching Doherty power amplifier (PM-DPA). This technique is based on a coupled-line phase compensation network (PCN). Theoretical analysis shows this coupled-line PCN results in wideband impedance matching by reducing the external <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$Q$ </tex-math></inline-formula> -factor in the peaking branch. Finally, when augmented with suitably selected peaking amplifier impedances, the proposed technique gave improved peak efficiency and output power over an extended bandwidth. For experimental verification, a DPA based on commercially available GaN HEMT devices (Cree CGH 40010F) was designed and fabricated. Measured results of the proposed DPA show 6-dB back-off operation between 1.3 and 2.3 GHz (55% fractional bandwidth) with efficiency in excess of 41%.

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: Empirical · Consensus signal: none
Teacher disagreement score0.968
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 head0.011
GPT teacher head0.248
Teacher spread0.237 · 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