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Record W2102111312 · doi:10.1109/plans.1994.303407

Satellite navigation for high precision aircraft navigation with emphasis on atmospheric effects

2002· article· en· W2102111312 on OpenAlexaff
B. Tiemeyer, M. Elizabeth Cannon, G. Lachapelle, G. Schänzer

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicGNSS positioning and interference
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsAmbiguity resolutionGlobal Positioning SystemComputer scienceRemote sensingPosition (finance)AmbiguitySatelliteChannel (broadcasting)Interference (communication)Flight testAerospace engineeringEnvironmental scienceSimulationGNSS applicationsTelecommunicationsEngineeringGeology

Abstract

fetched live from OpenAlex

Investigations into very high precise aircraft position determination with the Global Positioning System are presented. After a short introduction into the GPS code and carrier wave observables, the approach for carrier phase ambiguity resolution with single frequency L1 measurements in a kinematic environment is discussed. Flight test results are given to demonstrate the centimeter accuracy achievable in position using pure carrier wave observations. Successful L1 ambiguity resolution during the flight test using a high performance single frequency 10-channel receiver is shown as well as the high position accuracy after this process. Variations in the time to resolve the ambiguities are discussed with respect to vehicle dynamics and monitor-aircraft separation. Modelling of the tropospheric influences using onboard meteorological data are shown to improve the pure carrier wave approach.>

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.039
Threshold uncertainty score0.130

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0390.027

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 head0.008
GPT teacher head0.203
Teacher spread0.195 · 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 designObservational
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
Published2002
Admission routes1
Has abstractyes

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