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Record W4385194679 · doi:10.1109/lpt.2023.3297967

Photonic Aggregation of Microwave Signals With Electro-Optic Modulation and Polarization Combination

2023· article· en· W4385194679 on OpenAlexaff
Shengkang Zeng, Haikun Huang, Lingzhi Li, Yu Huang, Qiulin Zhang, Jiejun Zhang, Jianping Yao

Bibliographic record

VenueIEEE Photonics Technology Letters · 2023
Typearticle
Languageen
FieldEngineering
TopicOptical Network Technologies
Canadian institutionsUniversity of Ottawa
FundersNational Key Research and Development Program of ChinaNational Natural Science Foundation of China
KeywordsPhase-shift keyingOptical Carrier transmission ratesQuadrature amplitude modulationOpticsPolarizerOptical modulation amplitudePhase modulationAnalog transmissionPulse-amplitude modulationElectro-optic modulatorPhysicsModulation (music)PhotonicsElectronic engineeringOptical modulatorOptical fiberTransmission (telecommunications)TelecommunicationsOptical amplifierComputer scienceBit error ratePhase noiseEngineeringRadio over fiberAnalog signal

Abstract

fetched live from OpenAlex

A novel approach to the implementation of photonic aggregation of microwave signals using a single dual-polarization dual-drive Mach-Zehnder modulator (DP-DDMZM) and a polarizer is proposed and experimentally demonstrated. Four binary phase shift keying (BPSK) microwave signals with an identical carrier frequency are aggregated into a single 16 quadrature amplitude modulation (16QAM) optical signal through phase and amplitude control at the DP-DDMZM and the polarizer. The aggregated optical signal is then transmitted over an optical fiber to an optical coherent receiver, where the BPSK signals are recovered by demodulating the aggregated optical signal. The approach is evaluated experimentally. Four BPSK microwave signals with an identical carrier frequency of 15 GHz and each having a symbol rate of 1 GBaud are aggregated to be a 16QAM optical signal. The constellation diagrams are measured to confirm the effectiveness of the aggregation process. To further increase the transmission capacity without using additional spectral resources, the employment of polarization division multiplexing (PDM) is studied, and the doubling in transmission capacity is confirmed.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.399
Threshold uncertainty score0.770

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
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 head0.005
GPT teacher head0.192
Teacher spread0.186 · 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
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

Citations7
Published2023
Admission routes1
Has abstractyes

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