MétaCan
Menu
Back to cohort
Record W4247829198 · doi:10.23919/eumc.2018.8541687

Frequency Doubler Based Outphasing System for Millimeter Wave Vector Signal Generation

2018· article· en· W4247829198 on OpenAlexafffund
Arthur Chung, Marwen Ben Rejeb, Ali M. Darwish, H. Alfred Hung, Slim Boumaiza

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced Photonic Communication Systems
Canadian institutionsUniversity of Waterloo
FundersArmy Research LaboratoryNatural Sciences and Engineering Research Council of CanadaKeysight Technologies
KeywordsFrequency multiplierWidebandSIGNAL (programming language)Compensation (psychology)Pilot signalElectronic engineeringExtremely high frequencyLinearityModulation (music)Frequency modulationComputer scienceRadio frequencyEngineeringTelecommunicationsBandwidth (computing)AcousticsPhysics

Abstract

fetched live from OpenAlex

In this paper we propose a compensation technique for millimeter wave (mm-wave) frequency doubler based outphasing system adopted to generate wideband vector modulated signals. The compensation technique utilizes multi-tone test signals to detect the system's distortions. These include the frequency doubler's unavoidable non-linearity due to the band limitation of the phase modulated outphasing signals and the gain and phase mismatch between the two outphasing signal paths. For that, an interleaved multi-tone modulated signal is used to characterize these non-idealities and synthesize a memoryless predistorter and a linear outphasing mismatch compensation filter to mitigate their effects. These blocks are subsequently applied for generating digitally modulated signals at 25 GHz with modulation bandwidths of 80 and 160 MHz with improved quality of 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.

How this classification was reachedexpand

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: Methods · Consensus signal: none
Teacher disagreement score0.895
Threshold uncertainty score0.518

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 head0.056
GPT teacher head0.260
Teacher spread0.204 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreMethods

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2018
Admission routes2
Has abstractyes

Explore more

Same topicAdvanced Photonic Communication SystemsFrench-language works237,207