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Enregistrement W2184372375

Assessment of Multi-constellation RTK Solutions During Differential Correction Data Outages

2013· article· en· W2184372375 sur OpenAlexaboutno aff
Vimalkumar Bhandari, Kyle O’Keefe, Gérard Lachapelle

Notice bibliographique

RevueProceedings of the 26th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2013) · 2013
Typearticle
Langueen
DomaineEngineering
ThématiqueGNSS positioning and interference
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPseudorangeGNSS applicationsComputer scienceDifferential GPSRemote sensingGlobal Positioning SystemPosition (finance)SatelliteReal Time KinematicOrbit determinationReal-time computingPrecise Point PositioningTelecommunicationsGeographyEngineering
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Global Navigation Satellite System (GNSS) receivers that provide a Real Time Kinematic (RTK) solution using carrier phase techniques generally perform differential carrier phase positioning utilizing the pseudorange and phase correction data from a reference (or base) receiver. The rover receivers obtain these corrections via radio link or data over Internet Protocol (IP) and utilize them to provide precise position solutions using carrier phase measurements. The use of correction data removes spatially correlated errors such as satellite orbital errors, atmospheric delays and clock effects. In order to achieve centimetre-level position accuracy, the rover should solve the double differenced integer ambiguities. However, the accuracy of the obtained solution depends on the distance between reference station and rover, termed as the baseline. Nominally short baselines of the order of 1-10 km result in centimetre-level accuracy and with longer baselines (> 40-80 km, depending on the level of ionospheric activity) the accuracy degrades to decimetre or metre-level which lead to potential incorrect integer ambiguities resolution, especially on the shortest wavelength carrier phase measurements. In order to continuously provide an accurate solution the rover must receive uninterrupted correction data from the reference station. Unfortunately there is a possibility that the correction data from reference station is unavailable to the rover for various intervals. The reasons for non-availability of correction data could be radio frequency interference or network outages. This momentary or long-term communication breakdown impacts the accuracy of the obtained solution. The goal of this research is to provide an assessment of accuracy and reliability of multi-constellation RTK solution during differential correction data outages. The proposed work begins with analysis of GPS, GPS/GLONASS, and GPS/GLONASS/Galileo multi-constellation RTK solutions. Much work has been done in GPS/GLONASS multi-constellation based solution using live data. However, the majority of the work involving the Galileo constellation is limited to simulations due to unavailability of live data. The proposed work involves utilizing live data from GPS, GLONASS and two to four Galileo satellites, subject to their availability in mid 2013 to obtain a triple constellation RTK solution that includes a tight integration of GPS and Galileo on common carrier frequencies. The performance of the multi-constellation solution will be compared to GPS alone, and this analysis will then be expanded to include various correction data outage periods ranging from 0 to tens of minutes. The effect of the correction data outage period on solution accuracy also depends on whether the rover is stationary or in motion; both cases will be analyzed. The proposed work consists of multi-constellation GNSS data collection with various baselines ranging from one to 40 km for both static and vehicular dynamics rover scenarios in open sky environments. The correction data outages ranging from 0 to tens of minutes will be introduced to assess the performance of the solution. The proposed work will use an RTK software platform developed by the PLAN group at University of Calgary, namely PLANSoftTM. The outcome will be a comparative study of the solution accuracy at mentioned correction data outage periods for defined baselines. The proposed work will elaborate on the understanding of the impact of correction data outages on position accuracy by analysing various combinations of multi-constellation solutions such as GPS only, GPS/GLONASS, GPS/Galileo, and GPS/GLONASS/Galileo. The use of satellite measurements from multi-constellation systems against a single-constellation system increases observability during correction data outages. Therefore it is anticipated that the solution accuracy from GPS/GLONASS/Galileo multi-constellation system will outperform other combinations considered in this work. Further, various combinations of multi-frequency measurements will be formed and the results will be discussed. These combinations include GPS L1 and L2, GLONASS G1 and G2, and Galileo E1, E5a, and E5b signals. In addition to the analysis of accuracy degradation during correction data outages, a study of accuracy improvement when the correction data is re-introduced after a specific test period is also done. Particularly, the amount of the time taken by the navigation solution to converge to nominal accuracy level will be assessed. The complete assessment will provide a broad understanding on accuracy of RTK solutions during differential correction data outages. In addition, this analysis is useful to determine the minimum data rate to transfer correction data, which can meet specific accuracy requirements.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,361
Score d'incertitude au seuil0,528

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,001
Science ouverte0,0020,001
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,027
Tête enseignante GPT0,275
Écart entre enseignants0,248 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2013
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueProceedings of the 26th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2013)Même sujetGNSS positioning and interferenceTravaux en français237 207