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Record W2794757769 · doi:10.1109/tmtt.2018.2815562

Doherty Power Amplifier Distortion Correction Using an RF Linearization Amplifier

2018· article· en· W2794757769 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueIEEE Transactions on Microwave Theory and Techniques · 2018
Typearticle
Languageen
FieldEngineering
TopicAdvanced Power Amplifier Design
Canadian institutionsUniversity of Waterloo
FundersNatural Sciences and Engineering Research Council of CanadaKeysight Technologies
KeywordsAmplifierRF power amplifierLinearizationDirect-coupled amplifierDistortion (music)Electronic engineeringElectrical engineeringNonlinear distortionDoherty amplifierEngineeringPhysicsOperational amplifierNonlinear system

Abstract

fetched live from OpenAlex

This paper presents a linear Doherty power amplifier (DPA) topology suitable for low-powered small cell and multiantenna fifth generation transceivers. The proposed topology relies on augmenting the conventional two-way DPA with a linearization amplifier (LA) in order to enhance its efficiency versus linearity tradeoff when driven with wideband modulated signals. For this, a study of the interactions between the LA and DPA circuitries is conducted, and a design strategy is developed to determine the circuit's parameters that maximize the adjacent channel leakage ratio (ACLR) improvement while minimizing its power overhead. For validation purpose, this strategy is applied to design a proof of concept prototype with a center frequency of 800 MHz and an output peak envelope power of 12 W. Compared with the case where the LA is not integrated, more than 11-dB improvement of the ACLR was obtained at the prototype output when driven with modulated signals of up to 40 MHz of modulation bandwidth. Furthermore, an ACLR of about -45 dBc or better was maintained over a wide average power range.

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 score0.891
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 communication0.0000.001
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 head0.016
GPT teacher head0.258
Teacher spread0.243 · 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