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Record W4253479901 · doi:10.22215/etd/2020-14415

LEO Satellites and Frequency Synchronization

2020· dissertation· en· W4253479901 on OpenAlexaff
Yuntian Luo

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEngineering
TopicSatellite Communication Systems
Canadian institutionsCarleton University
Fundersnot available
KeywordsPhase-shift keyingPhase-locked loopSynchronization (alternating current)Computer scienceCommunications satelliteElectronic engineeringLoop (graph theory)SatelliteFilter (signal processing)EngineeringTelecommunicationsBit error rateMathematicsPhase noiseAerospace engineeringDecoding methods

Abstract

fetched live from OpenAlex

Using the parameters provided by the project Telesat LEO, this thesis addresses the Doppler frequency shift encountered when an earth terminal station receives signals from a LEO satellite. To achieve frequency synchronization, there is a necessity to construct a Costas loop to demodulate the data in the receiver. However, since the frequency shift produced by the Doppler phenomenon is very large, the challenge becomes achieving and speeding up the acquisition time of the Costas loop.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.937
Threshold uncertainty score0.874

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 head0.013
GPT teacher head0.225
Teacher spread0.213 · 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 designOther design
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
Published2020
Admission routes1
Has abstractyes

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