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Record W2041943139 · doi:10.1117/12.628361

Demonstration of a phase-modulator-based all-optical microwave mixing and filtering system for radio-over-fiber applications

2005· article· en· W2041943139 on OpenAlexaff
Fei Zeng, Jianping Yao

Bibliographic record

VenueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2005
Typearticle
Languageen
FieldEngineering
TopicAdvanced Photonic Communication Systems
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsDemodulationSubcarrierBand-pass filterRadio over fiberSIGNAL (programming language)Intermediate frequencyOptical Carrier transmission ratesMicrowavePhase modulationPhase-shift keyingModulation (music)Optical filterLocal oscillatorOptical fiberOpticsMaterials scienceRadio frequencyComputer sciencePhase noiseTelecommunicationsPhysicsAcousticsBit error rateOrthogonal frequency-division multiplexing

Abstract

fetched live from OpenAlex

In this paper an all-optical signal processor that performs both microwave mixing and bandpass filtering in a radio-over-fiber link is proposed and demonstrated. The frequency mixing is achieved by applying a local oscillator frequency and a BPSK modulated subcarrier to an electrooptic phase modulator. The mixed signals at the output of the electrooptic phase modulator are then fed to a single mode fiber link, which acts as a dispersive device for bandpass filtering and distributes the mixed signal to a remote site. The combination of the phase modulator, a multiwavelength laser source and the SMF link forms an all-optical microwave bandpass filter to suppress the levels of unwanted mixing products. A subcarrier frequency up-conversion from 3.25 GHz and 3.5 GHz to 11.7 GHz performed over a 25 km fiber link is experimentally demonstrated, in which BPSK modulation formats with data rates of 172 Mb/s and 344 Mb/s are applied. Eye diagrams are measured at the receiver end after demodulation, demonstrating a good up-conversion is achieved.

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)0.001
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.433
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
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 head0.013
GPT teacher head0.250
Teacher spread0.237 · 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.

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

Citations1
Published2005
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIESame topicAdvanced Photonic Communication SystemsFrench-language works237,207