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Record W2726578440

Ionospheric Warning System for Marine DGPS Users

2006· article· en· W2726578440 on OpenAlexaboutno aff
S. Skone

Bibliographic record

VenueProceedings of the 19th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2006) · 2006
Typearticle
Languageen
FieldEngineering
TopicGNSS positioning and interference
Canadian institutionsnot available
Fundersnot available
KeywordsGlobal Positioning SystemIonosphereDifferential GPSMeteorologyRemote sensingGeodesyGeographyStormGeologyComputer scienceTelecommunicationsGeophysics
DOInot available

Abstract

fetched live from OpenAlex

Under normal operating conditions marine DGPS horizontal positioning accuracies on the order of several meters are achieved in North America. Degradations in positioning accuracy can occur during enhanced ionospheric activity. An ionospheric phenomenon known as storm enhanced density (SED) is observed to develop in the mid- to high-latitudes during ionospheric storm events. Very large gradients are observed in the vicinity of this feature with DGPS positioning errors increased by a factor of 10-30 versus quiet conditions. While the SED phenomenon typically develops in the eastern United States over a period of hours, extending northwest into Canada, the specific evolution of a given event and the magnitude of expected impact are not generally predictable. The only method to monitor the development of SED, and associated severe gradients of interest for DGPS users, is to compute ionospheric maps in real-time. Local gradients can then be computed for various geographic regions from North American maps of ionosphere delay. Sources of real-time ionospheric information include the Wide Area Augmentation System (WAAS) and the Canadian GPS•C service. These are wide area differential GPS systems in which ionosphere maps and associated error bounds are derived for North America. Both the WAAS and GPS•C ionosphere maps are available via geostationary downlink in RTCA format. By using WAAS and/or GPS•C-capable receivers at fixed sites in North America, the full North American ionosphere maps can be decoded and manipulated. Raw observations from the GPS•C sites can also be obtained for derivation of ionospheric information. In this paper, a real-time ionosphere warning system is investigated for North American DGPS users based on available real-time data. It is determined that the WAAS and GPS•C ionosphere maps do not provide adequate spatial resolution to identify local ionosphere gradients. The raw data from GPS•C reference sites, however, can be used to determine the location and magnitude of large ionosphere gradients and infer the expected impact on DGPS users. Potential exists to issue marine user warnings based on this method. Results of this work can readily be extended to land DGPS applications, such as the NDGPS service in the United States.

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)0.001
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.129
Threshold uncertainty score0.523

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
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 head0.008
GPT teacher head0.217
Teacher spread0.209 · 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
Published2006
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of the 19th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2006)Same topicGNSS positioning and interferenceFrench-language works237,207