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Record W2054740395 · doi:10.1109/lmwc.2013.2247751

Rational Function Based Model for the Joint Mitigation of I/Q Imbalance and PA Nonlinearity

2013· article· en· W2054740395 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 Microwave and Wireless Components Letters · 2013
Typearticle
Languageen
FieldEngineering
TopicAdvanced Power Amplifier Design
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsAmplifierNonlinear systemAdjacent channel power ratioFunction (biology)Mean squared errorPower (physics)Adjacent channelQuadrature (astronomy)Topology (electrical circuits)Quadrature amplitude modulationComputer scienceError functionRational functionElectronic engineeringChannel (broadcasting)MathematicsAlgorithmControl theory (sociology)TelecommunicationsBit error rateBandwidth (computing)RF power amplifierEngineeringPhysicsStatisticsMathematical analysisArtificial intelligenceCombinatorics

Abstract

fetched live from OpenAlex

Nonlinearity in power amplifiers and In-phase and Quadrature phase (I/Q) imperfections degrade the performance of direct conversion transmitters. In this letter, a novel rational function based model is proposed to jointly alleviate both these impairments. The performance of the model is evaluated in terms of Normalized mean square error (NMSE) and Adjacent channel error power ratio (ACEPR). Simulation results and measurements show that the model has an improvement of around 2 dB NMSE and around 3 dB in ACEPR than the state of the art parallel Hammerstein based model <citerefgrp xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <citeref refid="ref4"/></citerefgrp> . Also the model attains a lower complexity while maintaining almost same performance.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.791
Threshold uncertainty score0.395

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 head0.020
GPT teacher head0.202
Teacher spread0.181 · 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