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Record W2047020127 · doi:10.1109/mwsym.2014.6848510

An extended bandwidth Doherty power amplifier using a novel output combiner

2014· article· en· W2047020127 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 Waterloo
Fundersnot available
KeywordsAmplifierPower bandwidthRF power amplifierLinear amplifierElectrical engineeringBandwidth (computing)TransistorDoherty amplifierDirect-coupled amplifierElectronic engineeringDistributed amplifierPower-added efficiencyEngineeringComputer scienceOperational amplifierTelecommunications

Abstract

fetched live from OpenAlex

This paper proposes a novel output combiner for Doherty power amplifiers with extended bandwidth. The proposed output combiner employs a resonance LC tank at the output of the peaking transistor to maintain the back-off impedance seen by the main transistor over a wide frequency band. In addition, the output combiner provides low low-frequency impedance for both the main and peaking transistors which results in improved linearizability when the amplifier is concurrently driven with dual-band modulated signals. A 20W, 30% bandwidth gallium nitride Doherty power amplifier based on the proposed topology was implemented to demonstrate the effectiveness of the output combiner. The Doherty amplifier was successfully linearized under single- and dual-band modulated excitations and achieved 42% power added efficiency when amplifying a concurrent dual-band 15 MHz WCDMA and 15MHz LTE signals with 9:4dB peak-to-average power ratio.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.886
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)0.0010.000

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 head0.020
GPT teacher head0.250
Teacher spread0.229 · 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

Citations50
Published2014
Admission routes1
Has abstractyes

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