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Record W2108767756 · doi:10.1109/wamicon.2009.5207270

Investigating effects of quadrature imperfection of vector multiplier in implementing RF/Digital predistortion

2009· article· en· W2108767756 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 Calgary
Fundersnot available
KeywordsPredistortionBasebandAmplifierLinearizationElectronic engineeringQuadrature (astronomy)Computer scienceRadio frequencyQuadrature amplitude modulationRF power amplifierW-CDMAControl theory (sociology)LinearityMultiplier (economics)Bandwidth (computing)TelecommunicationsEngineeringNonlinear systemPhysicsCode division multiple accessBit error rate

Abstract

fetched live from OpenAlex

RF linear vector multiplier is a key component in hybrid RF/Digital predistortion systems. It adjusts, through I and Q baseband control signals, the input signal's magnitude and phase according to the gain and phase required by the predistortion synthesis. In practical situations, due to hardware impairments, the I and Q correction signals combine in some non quadrature phase relation to give error in terms of implemented gain and phase of the predistortion functions. This quadrature imperfection can lead to poor correction in terms of predistortion and hence reduces the linearization capability of the predistortion system. This paper analyzes the effects of such quadrature imperfection in RF/Digital predistortion schemes. Experimental validation is carried out on a power amplifier biased in class B mode and driven by 3G WCDMA signal.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.087
Threshold uncertainty score0.502

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 head0.005
GPT teacher head0.217
Teacher spread0.213 · 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

Citations5
Published2009
Admission routes1
Has abstractyes

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