MétaCan
Menu
Back to cohort
Record W2133933847 · doi:10.1049/iet-spr.2010.0032

Multirate recovery scheme for wide-band global navigation satellite system signals

2011· article· en· W2133933847 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIET Signal Processing · 2011
Typearticle
Languageen
FieldEngineering
TopicGNSS positioning and interference
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsGNSS applicationsGalileo (satellite navigation)Computer scienceSatellite systemSatelliteFocus (optics)SIGNAL (programming language)Orbit (dynamics)Scheme (mathematics)Remote sensingSatellite navigationPhase (matter)AmplitudeReal-time computingGlobal Positioning SystemAlgorithmTelecommunicationsPhysicsGeologyMathematicsAerospace engineeringOpticsEngineering

Abstract

fetched live from OpenAlex

In this study, a multirate approach is proposed for the recovery of wide-band global navigation satellite system (GNSS) signals. Two or more narrow-band front-ends are used in parallel for collecting different portions of the spectrum of a wide-band GNSS signal that is then reconstructed from its sub-band components. Algorithms for compensating for phase offsets and amplitude imbalances have been developed and used to equalise possible differences among the recovered narrow-band components. Specific focus is given to the case where two front-ends are employed and live GNSS data from the Galileo in-orbit validation elements, GIOVE-A and GIOVE-B are used for demonstrating the effectiveness of the developed reconstruction algorithm.

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.

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: none
Teacher disagreement score0.629
Threshold uncertainty score0.734

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 communication0.0000.000
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 head0.030
GPT teacher head0.237
Teacher spread0.207 · 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