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Record W4417065303 · doi:10.1364/josab.577812

Compact mid-infrared transmitter and receiver for free-space satellite communications

2025· article· en· W4417065303 on OpenAlexafffund
Saeed Salimian Rizi, Liam Flannigan, Ross Cheriton, Daniel Poitras, Liam Graham, Ahmad Atieh, Qi Yang, Xiaoran Xie, Guo‐Cheng Liu, Zhenguo Lü, Chang‐Qing Xu

Bibliographic record

VenueJournal of the Optical Society of America B · 2025
Typearticle
Languageen
FieldEngineering
TopicOptical Wireless Communication Technologies
Canadian institutionsOptiwave Systems (Canada)National Research Council Canada
FundersNatural Sciences and Engineering Research Council of CanadaOntario Research Foundation
KeywordsTransceiverTransmitterCommunications satelliteBit error rateOptical communicationSatelliteScalabilityCommunications system

Abstract

fetched live from OpenAlex

We demonstrate a compact mid-infrared (MIR) free-space optical transceiver based on packaged, fiber-coupled intracavity difference-frequency generation (DFG) and sum-frequency generation (SFG) modules operating at room temperature. The system achieves stable MIR generation, recovery of modulated signals up to 1.3 Gb/s, and outdoor validation over a 160 m rooftop link. Link stability measurements confirm robust performance and compatibility with silicon/GaAs detectors, overcoming the limitations of conventional infrared photodiodes. Future work includes rooftop high-speed bit error rate testing, drone-based ∼1km demonstrations, and balloon-assisted ∼25km trials, establishing wavelength conversion as a scalable foundation for next-generation, weather-resistant MIR satellite high-throughput communication systems and quantum communications with short-wavelength detectors.

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: none
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

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 communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.002

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 head0.014
GPT teacher head0.254
Teacher spread0.240 · 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

Citations1
Published2025
Admission routes2
Has abstractyes

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Same venueJournal of the Optical Society of America BSame topicOptical Wireless Communication TechnologiesFrench-language works237,207