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Record W4391269297 · doi:10.1117/12.3018017

Development of optical intersatellite link (OISL) and quantum communication terminals at Honeywell

2024· article· en· W4391269297 on OpenAlexaffabout
Hugh Podmore, Danya Hudson, Alan Scott, Barrett J. Taylor, Michael A.P. Taylor, Ashley McColgan, B R Mackay, Hermina Beica

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicOptical Wireless Communication Technologies
Canadian institutionsHoneywell (Canada)
Fundersnot available
KeywordsConstellationEncryptionComputer scienceTerminal (telecommunication)Optical communicationCommunications satelliteQuantum channelPolarization (electrochemistry)TelecommunicationsEngineeringElectronic engineeringQuantumSatelliteComputer networkAerospace engineeringPhysicsQuantum information

Abstract

fetched live from OpenAlex

In this talk we report on the development of OISL terminals at Honeywell for high-speed crosslinks in LEO mega constellations, optical downlinks for EO data transfer, and QKD applications. Since 2017 Honeywell has been actively developing a 100 mm class, high-reliability OISL laser communication terminal named the LCT100. Honeywell has also been developed terminals suitable for quantum communication and QKD applications, including a quantum-enabled version of the LCT100 crosslink terminal, and a 250 mm class terminal for Canada’s Quantum Encryption and Science Satellite (QEYSSat) which is capable of distributing provably secure encryption keys to ground stations separated by 400 km or more. Major technical challenges include accurate pointing and tracking, polarization-management throughout the optical chain, and deep suppression of background and stray light sources, given the nature of single photon exchange over large distances. Honeywell will fly both QKD and classical terminals on the upcoming QEYSSat mission and in this talk we discuss the design and the readiness of these technologies to address the current challenges in LEO crosslinks and FSO communications.

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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.809
Threshold uncertainty score0.367

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 head0.019
GPT teacher head0.249
Teacher spread0.230 · 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

Citations0
Published2024
Admission routes2
Has abstractyes

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