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Record W2006689197 · doi:10.1109/icecs.2005.4633415

Temperature compensated digital predistorter for 3G power amplifiers

2005· article· en· W2006689197 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 CalgaryPolytechnique Montréal
Fundersnot available
KeywordsPredistortionAmplifierIntermodulationBasebandElectronic engineeringPower (physics)Computer scienceRF power amplifierLDMOSDistortion (music)Control theory (sociology)EngineeringElectrical engineeringTransistorPhysicsVoltage

Abstract

fetched live from OpenAlex

This paper proposes a new digital baseband predistorter architecture for 3G RF power amplifiers. The proposed architecture compensates for temperature drifts using a simple temperature sensoring feedback path coupled with a temperature dependant predistortion function. The proposed predistorter is composed of a static look-up table in parallel with an adjustment module that implements the temperature compensation function. Measured AM/AM and AM/PM characteristics of 100-W peak envelop power LDMOS power amplifier were used to evaluate the performances of the proposed predistorter. The results show 15 dB improvement in the intermodulation distortion level at the power amplifier output under a CDMA2000 SR3 excitation. This improvement was maintained for amplifier's case temperature variations between 25degC and 45degC.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.955
Threshold uncertainty score0.758

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 head0.006
GPT teacher head0.203
Teacher spread0.197 · 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
Published2005
Admission routes1
Has abstractyes

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