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Record W1574790859

DSP techniques for linearity and efficiency enhancement of multi-band envelope tracking transmitters

2014· article· en· W1574790859 on OpenAlex
Fadhel M. Ghannouchi, Andrew Kwan, Mayada Younes, Wenhua Chen

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

VenueAsia-Pacific Microwave Conference · 2014
Typearticle
Languageen
FieldEngineering
TopicAdvanced Power Amplifier Design
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPredistortionLinearityTransmitterElectronic engineeringMulti-band deviceAmplifierBandwidth (computing)LinearizationComputer scienceWidebandBasebandDigital signal processingOut-of-band managementRadio frequencyElectrical engineeringEngineeringTelecommunicationsPhysicsNonlinear system
DOInot available

Abstract

fetched live from OpenAlex

Due to the increasing demands for large capacity and high performance wireless transmitters, multi-band transmitter architectures play an important role in modern communications. Thus, advances in the design techniques of radio frequency (RF) power amplifiers (PAs) have promoted the use of a single multi-band PA and RF components in order to concurrently process multiple input signals located in different frequency bands. In this paper, digital signal processing (DSP) techniques for linearity and efficiency enhancement of multi-band envelope tracking (ET) transmitters are discussed. A two-dimensional digital predistortion (2D-DPD) is used for linearization of the dual-band PA around each band separately, relaxing the high speed requirements needed by wideband DPD. Power efficiency enhancement of the dual band PA is accomplished by adopting bandwidth reduced envelope shaping functions that depend on the original envelopes of the two concurrent signals driving the PA, which provides a good compromise between efficiency and linearity. The proposed architecture is experimentally validated where linearization and efficiency enhancement results are presented.

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: Methods · Consensus signal: none
Teacher disagreement score0.887
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 communication0.0000.000
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 head0.024
GPT teacher head0.248
Teacher spread0.224 · 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