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Record W2536017467 · doi:10.1109/rawcon.2004.1389170

A linearized Doherty amplifier using complex baseband digital predistortion driven by CDMA signals

2005· article· en· W2536017467 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 institutionsPolytechnique Montréal
Fundersnot available
KeywordsDoherty amplifierAmplifierPredistortionBasebandLinear amplifierLinearityElectronic engineeringCDMA2000Electrical engineeringRF power amplifierW-CDMAComputer scienceEngineeringCode division multiple access

Abstract

fetched live from OpenAlex

This work proposes a digitally linearized Doherty amplifier for CDMA applications. A fully digital complex baseband predistorter is used to improve the linearity of the amplifier over the whole input power range. This results in an improvement of the linearity of the Doherty amplifier without degrading its power efficiency. Experimental validation was carried on a designed 1-watt power Doherty amplifier operating at 1900 MHz. The performance of the linearized Doherty amplifier (LDA) was evaluated under a cdma2000 SRI signal. A power added efficiency of 50% was obtained with an ACPR level better than 35 dBc.

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 categoriesInsufficient payload (model declined to judge)
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 score0.939
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)0.0010.000

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 head0.025
GPT teacher head0.245
Teacher spread0.220 · 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

Citations7
Published2005
Admission routes1
Has abstractyes

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