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Record W1888860752 · doi:10.1109/plans.1994.303290

Single point satellite navigation accuracy-what the future may bring

2002· article· en· W1888860752 on OpenAlexaffabout
Gérard Lachapelle, Richard Klukas, Wei Qiu, T. Melgard

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicGNSS positioning and interference
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsEphemerisGlobal Positioning SystemComputer scienceSatelliteStability (learning theory)Point (geometry)Code (set theory)Precise Point PositioningTerm (time)GeodesyReal-time computingRemote sensingAlgorithmMathematicsTelecommunicationsGeographyEngineeringAerospace engineeringMachine learningSet (abstract data type)Physics

Abstract

fetched live from OpenAlex

In order to assess the level of accuracy which may be available in the future with GPS as better broadcast or quasi real-time precise ephemerides become available, the accuracy performance and long term stability of single point GPS is analyzed using P code L1 and ionospherically corrected (L1/L2) data collected over a period of several months at selected permanent stations of the Canadian Active Control System. Precise post-mission orbits are used for the analysis. Instantaneous and time-averaged positioning is investigated to assess accuracy enhancement versus observation time. Statistics for various solutions in each of the three coordinate components are presented. A comparison of results obtained with precise and broadcast orbits is presented. A comparison of L1 versus L1/L2 results yield a quantitative estimate of the effect of the ionosphere on each of the three coordinate components.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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: Empirical
Teacher disagreement score0.919
Threshold uncertainty score0.576

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 head0.015
GPT teacher head0.207
Teacher spread0.192 · 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

Citations3
Published2002
Admission routes2
Has abstractyes

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