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Record W2605931468

Evaluation of DGPS and WADGPS Methods for Land and Marine Applications

2005· article· en· W2605931468 on OpenAlexaboutno aff
R. Yousuf, S. Skone, A. J. Coster

Bibliographic record

VenueProceedings of the 2005 National Technical Meeting of The Institute of Navigation · 2005
Typearticle
Languageen
FieldEngineering
TopicGNSS positioning and interference
Canadian institutionsnot available
Fundersnot available
KeywordsTECGlobal Positioning SystemDifferential GPSRemote sensingIonosphereConstellationEnvironmental scienceBaseline (sea)MeteorologyCoast guardComputer scienceGeographyTelecommunicationsGeologyOceanography
DOInot available

Abstract

fetched live from OpenAlex

Canadian and United States Coast Guard specify the DGPS horizontal tolerance to be 10 m (95%) and, under normal operating conditions, studies have shown that accuracies fall well within this bound. During high levels of ionospheric disturbance, however, considerable degradations in DGPS positioning accuracies can occur. Localized ionospheric events producing large gradients in total electron content (TEC) can cause significant positioning errors for a single reference station DGPS approach. Recent studies have shown that ionospheric events may occur in which DGPS positioning accuracies are degraded by factors of 10-30 throughout North America. This is a significant concern for DGPS services which must maintain reliable positioning accuracies. An alternative to single baseline DGPS is wide area DGPS (WADGPS). In WADGPS, a network of sparse (often dual frequency) GPS reference stations is used to spatially model correlated ranging error components. A commercial WADGPS system, developed by the Federal Aviation Administration (FAA), is the Wide Area Augmentation System (WAAS). In the WAAS, corrections are computed using a vector approach, and it achieves (typical) accuracies of 1-3 m. The WAAS service is considered to be a potential alternative for land and marine users, as compared with the single baseline DGPS capabilities offered by the Canadian Coast Guard, U.S. Coast Guard and DOT (NDGPS). The WAAS reference network is sparse, however, and the WAAS may not adequately model local ionospheric effects during increased ionospheric activity. In this paper, we conduct an extensive study of the effects of local ionospheric events and TEC gradients on DGPS users and analyse how these effects could be mitigated using different methods. We initially quantify the impact on single baseline DGPS and WAAS users in severe geomagnetic storm events using two different networks of varying sizes. Additionally, a broader analysis of spatial features is conducted for both single baseline DGPS and WAAS by computing “user” positions at different sites across North America. A total of 813 baselines (using sub-networks of the IGS and CORS reference stations) are processed to derive the DGPS solution set. WAAS position solutions are also computed at 40 “user” stations using archived WAAS correction messages obtained from the FAA. Results indicate that 1) for single baseline DGPS (baselines of 100-200 km in length), horizontal position accuracies are improved versus using WAAS, but horizontal DGPS errors may still be > 10 m (95thpercentile), and 2) for single baseline DGPS (baselines > 400 km), WAAS may provide improved position accuracies (but position errors are still increased significantly versus quiet conditions).

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)0.002
metaresearch head score (Gemma)0.001
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 score0.136
Threshold uncertainty score0.209

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 head0.027
GPT teacher head0.329
Teacher spread0.302 · 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
Published2005
Admission routes1
Has abstractyes

Explore more

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