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Record W2598907311

Correlation Properties of a 2-D Array of High Latitude Scintillation Receivers

2013· article· en· W2598907311 on OpenAlexaboutno aff
G. S. Bust, Seebany Datta‐Barua, K. Deshpande, S. Bourand, S. Skone, Yang Su

Bibliographic record

VenueScholarly Commons (Embry–Riddle Aeronautical University) · 2013
Typearticle
Languageen
FieldEngineering
TopicGNSS positioning and interference
Canadian institutionsnot available
Fundersnot available
KeywordsScintillationInterplanetary scintillationIonosphereGlobal Positioning SystemGNSS applicationsLatitudeRemote sensingGeodesyGPS signalsPhysicsGeologySatelliteOpticsAssisted GPSGeophysicsTelecommunicationsDetectorAstronomyComputer scienceSolar wind
DOInot available

Abstract

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Short-term signal fading and rapid phase changes can occur when the Global Navigation Satellite Systems (GNSS) signals pass through regions of ionospheric irregularities of scale sizes around tens to hundreds of meters [1]. At high latitudes, phase scintillations are observed more often than amplitude scintillations and are due to a variety of physical instability mechanisms in both the E and F regions of the ionosphere. When the ionosphere is irregular, diffractive scintillations will occur. The temporal behavior of diffractive scintillations depends on the Fresnel length of the scintillations, the drift speed of the ionosphere, and the relative velocities of the satellites and receivers [2]. There have been a number of significant high latitude studies of scintillation using the Global Positioning System (GPS), e.g., [3]. Most GPS high latitude scintillation studies were made with single GPS scintillation receivers or a network with baselines of 100s of kilometers, and therefore were not able to investigate the local spatial spectrum of the irregularities or the drift speeds. Scintillation studies for arrays around km scale baselines have been developed by [4] and more recently for an array for polar scintillations [5]. We build on this previous body of work with the beginning of an in-depth study of the spatial-temporal properties of GPS scintillations in the auroral oval region using a multi-receiver array deployed near the equatorial boundary of the auroral region and the night-side transition region. In late 2012, a test array of ASTRA Connected Autonomous Space Environment Sensors (CASES) was installed around the University of Calgary. These receivers stream one minute averages of scintillation parameters (S4 and sigma_phi), as well as high-rate I and Q samples to a server. From this test array, a final 7 receiver array is deployed in Canada at a location near the equatorial auroral boundary. This array is used to study the space-time properties of ionospheric irregularities that cause scintillations, through forward modeling and inverse diffraction tomography methods. In order to make such studies, we establish a scintillation event database. The database is based upon a “quick-look” set of scintillation data across the array, choosing both non-scintillating periods as baseline cases, and scintillating periods. The criteria for events being entered into the database are: • Significant scintillation on all receivers. • All-sky imagers observe significant auroral structuring [6]. • The GPS lines of sight (LOS) pass through the spatial region of the auroral structuring. • Location of the auroral boundary with respect to the scintillating LOS is estimated. The database is then used to choose periods for more in depth study of ionospheric irregularities by analysis of the high-rate I and Q data across the array. The results of this analysis will improve our understanding of the space-time distribution of ionospheric irregularities, the large scale drivers that cause the development of irregularities, and the nowcast and forecast of scintillations for GNSS systems. This paper focuses upon initial results from the array of scintillation receivers, including estimation of drift velocities from cross-correlations, estimation of the spectrum of irregularities, and geophysical conditions that caused the scintillations. [1] Morrissey, T.N., K. W. Shallberg, A. J. Van Dierendonck, and M. J. Nicholson (2004), GPS receiver performance characterization under realistic ionospheric phase scintillation environments, Radio Sci., vol. 39, pp. 1–18. [2] Kintner, P. M., B. M. Ledvina, E. R. de Paula, and I. J. Kantor (2004), Size, shape, orientation, speed, and duration of GPS equatorial anomaly scintillations, Radio Sci., 39, RS2012, doi:10.1029/2003RS002878. [3] Skone S., M. Feng, R. Tiwari and A. Coster (2009), Characterizing ionospheric irregularities for auroral scintillations, Proceedings of the 22nd International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS 2009), Savannah, GA, September 2009, pp. 2551-2558. [4] Grzesiak M., and A.W. Wernik (2009), Dispersion analysis of spaced antenna scintillation measurement Ann. Geophys., 27, 2843–2849. [5] Wang, J., Morton, Y., Zhou, Q., Pelgrum, W., Spatial Characterization of High Latitude Ionosphere Scintillations, Proceedings of the 25th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS 2012), Nashville, TN, September 2012, pp. -. [6] Smith, A. M., C. N. Mitchell, R. J. Watson, R. W. Meggs, P. M. Kintner, K. Kauristie, and F. Honary (2008), GPS scintillation in the high arctic associated with an auroral arc, Space Weather, 6, S03D01, doi:10.1029/2007SW000349.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.380
Threshold uncertainty score0.613

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 communication0.0000.002
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 head0.166
Teacher spread0.151 · 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

Citations2
Published2013
Admission routes1
Has abstractyes

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