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Record W2092742885 · doi:10.1109/lpt.2014.2310173

Ultrawideband RF Photonic Phase Shifter Using Two Cascaded Polarization Modulators

2014· article· en· W2092742885 on OpenAlexafffund
Weifeng Zhang, Jianping Yao

Bibliographic record

VenueIEEE Photonics Technology Letters · 2014
Typearticle
Languageen
FieldEngineering
TopicAdvanced Photonic Communication Systems
Canadian institutionsUniversity of Ottawa
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPhase shift moduleSidebandPhysicsPhotonicsOptical Carrier transmission ratesOptical filterPolarization (electrochemistry)Phase modulationRadio frequencyOpticsOptoelectronicsInsertion lossTelecommunicationsRadio over fiberComputer scienceOptical fiberPhase noise

Abstract

fetched live from OpenAlex

An ultrawideband RF photonic phase shifter implemented using two cascaded polarization modulators (PolMs) is proposed and experimentally demonstrated. The first PolM (PolM1) is employed to generate an optical carrier and two first-order sidebands that are orthogonally polarized. By aligning the polarization directions of the optical carrier and the two first-order sidebands from the first PolM with the two principal axes of the second PolM (PolM2), complementary phase modulation on the optical carrier and the first-order sidebands is produced if a DC voltage is applied to the second PolM. By selecting the optical carrier and one sideband using an optical filter and beating them at a photodetector, an RF signal with its phase that is tunable by tuning the applied DC voltage is generated. The proposed phase shifter has the advantages of fast tuning and an ultrawide frequency tunable range. An experiment is performed. A full 360° phase shift over an ultrawide frequency range from 5 to 40 GHz is demonstrated. The spurious free dynamic range of the phase shifter is also studied.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.012
GPT teacher head0.264
Teacher spread0.252 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

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

Citations13
Published2014
Admission routes2
Has abstractyes

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