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Record W7096409697

THE UNIVERSITY OF CALGARY IF GPS Signal Simulator Development and Verification

2003· article· en· W7096409697 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicGNSS positioning and interference
Canadian institutionsnot available
Fundersnot available
KeywordsPseudorangeGlobal Positioning SystemSIGNAL (programming language)GPS signalsGPS disciplined oscillatorAssisted GPSPrecision Lightweight GPS ReceiverTime to first fix
DOInot available

Abstract

fetched live from OpenAlex

A software-based intermediate frequency (IF) GPS signal simulator for the L1 C/A code signal is developed and verified in this thesis. The signal simulator is implemented in MATLAB with some key functions coded in C to accelerate speed of operation. A mathematical signal model is developed that expresses the digitized IF GPS signal as a function of various errors during propagation, such as satellite clock error, ionosphere error, and troposphere error; and user defined parameters, such as date and GPS time, user trajectory, expected C/N0, noise density, intermediate frequency, sampling rate, front-end bandwidth, and quantization bit. The simulator is verified by comparing the simulated signal with the hardware-collected IF GPS signal in the time, frequency, correlation and position domains. Partially for the simulator verification purpose, a software GPS receiver was developed and verified, which was used to process the simulated signal to get the pseudorange and carrier phase measurements. The signal acquisition and tracking techniques originally studied and verified in this thesis were used for the first generation software receiver

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 score0.442
Threshold uncertainty score0.076

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 head0.008
GPT teacher head0.165
Teacher spread0.157 · 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

Citations0
Published2003
Admission routes1
Has abstractyes

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