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Record W2087898125 · doi:10.2514/2.4675

Synergy Between Global Positioning System Code, Carrier, and Signal-to-Noise Ratio Multipath Errors

2001· article· en· W2087898125 on OpenAlex
Jayanta K. Ray, M. Elizabeth Cannon

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

VenueJournal of Guidance Control and Dynamics · 2001
Typearticle
Languageen
FieldEngineering
TopicGNSS positioning and interference
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMultipath propagationComputer scienceCode (set theory)SIGNAL (programming language)Noise (video)Global Positioning SystemMultipath mitigationSignal-to-noise ratio (imaging)Electronic engineeringReal-time computingTelecommunicationsEngineeringComputer vision

Abstract

fetched live from OpenAlex

Global positioning system code, carrier and signal-to-noise ratio (SNR) measurements are corrupted by multipath signals that can signiŽ cantly affect the quality of data used for static and kinematic positioning applications. A tool to simulate code, carrier, and SNR multipath errors in a user-deŽ ned, multiantenna and multire ector environment for multipath error analysis is developed and described. Various relationships between parameters such as the multipath amplitude, phase, and frequency with the satellite dynamics, antenna–re ector distance, antenna–re ector geometry, and signal frequency are derived. Multipath spatial and temporal correlation are analyzed using simulated and Ž eld data. The similarities and differences of code, carrier, and SNRmultipath error characteristics are also investigated.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.368
Threshold uncertainty score0.571

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 head0.005
GPT teacher head0.215
Teacher spread0.209 · 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