Validation of a Transionospheric Propagation Scintillation Simulator for Strongly Scintillated GPS Signals Using Extensive High Latitude Data Sets
Notice bibliographique
Résumé
The background ionosphere is a medium of partially ionized gases, developed due to interaction of different solar ionizing radiations with neutral gases present in Earth’s atmosphere. The ionization of the gas molecules results in the free electron density. This electron density depends on the neutral gas density and the solar flux and is also affected by recombination particularly after sunset. The ionization level varies with altitude, local time, season, location, geomagnetic and solar activity as well as solar cycle epoch. There is also a further stochastic electron density component consisting of time-varying electron density irregularities which themselves can be contained within meso-scale structures such as polar patches at high latitudes or plasma bubbles at low/equatorial latitudes. At high latitudes the occurrence of the irregularities increases with geomagnetic activity and will produce scintillation in both amplitude and phase on a transionospheric signal such as that from a GPS satellite received on the ground by a suitable receiver. The fluctuations in amplitude and phase of the signal termed amplitude and phase scintillation come about as a consequence of signal diffraction by the ionospheric irregularities resulting in self-interference of the carrier incident at the receiving antenna which can severely affect the GPS receiver performance. One method of investigating this physics-based scintillation is via construction of a transionospheric propagation simulator (e.g. the SPLN simulator) which can accurately and realistically model all the scintillation effects, even for strong scintillation conditions. This simulator can produce time series of amplitude and phase for different scintillation conditions which can, by being input to a software GPS receiver, test the robustness of different GPS receiver designs under a variety of scintillation conditions. Also, it is envisaged that, by comparison of its output for different scintillation conditions with a very extensive GPS data set received at high latitudes, it could be rigorously validated and utilised to form the basis of a scintillation forecast program for this region. The SPLN (St. Petersburg-Leeds-Newcastle) transionospheric simulator is capable of estimating the statistical characteristics of transionospheric radio signals in strong scintillation conditions and can simulate time series of the phase and log-amplitude of the signal, as well as its amplitude and phase spectra at a ground-based receiver. The technique used in this simulator is the hybrid method of complex phase and the random screen. The input parameters for this simulator are: electron density profile for background ionosphere obtained from the NeQuick model, the geomagnetic and solar activity indices, the spectral index, cross-field outer scale and aspect ratios of the irregularities and the carrier frequency of signal along with the elevation and azimuth angle of the visible satellite. The random realization of phase and log-amplitude on ground results from propagating downwards the complex amplitude of the field on a random screen situated below the ionosphere and is generated in terms of the propagation geometry and the anisotropic inverse spatial spectrum of the electron density irregularities in the ionosphere. The work focuses on the validation of the physics-based SPLN transionospheric propagation scintillation simulator with experimental scintillation measurements at different locations in the high latitude region. These include six GPS stations all equipped with GISTM based NovAtel GPS receivers capable of providing raw GPS observations and scintillation indices. Three GPS stations (Yellowknife [62.48o N, 114.48o W], Athabasca [54.72o N, 113.31o W], Calgary [51.08o N 114.13o W]) represent the mid-high latitude region in Northern Canada, while the other three stations (Bronoysund [65.6° N, 12.2° E], Bergen [60.0° N, 5.0° E],) are for the mid-high latitude region in Northern Europe. The experimental validation for different elevations and azimuths also aids the development of a mapping function for scintillation indices between vertical and oblique paths which is necessary for a planned scintillation forecasting program. Simulated time series of scintillated signals will be developed which are well suited for testing the robustness of GPS receivers for realistic scenarios including, in particular, strong scintillation conditions.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».