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Record W2105530037 · doi:10.1109/vetec.1991.140579

Pulse ranging radiolocation technique and its application to channel assignment in digital cellular radio

2002· article· en· W2105530037 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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicPower Line Communications and Noise
Canadian institutionsNovAtel (Canada)
Fundersnot available
KeywordsRangingComputer scienceMultipath propagationChannel (broadcasting)Digital radioPulse-position modulationTime of arrivalReal-time computingElectronic engineeringPulse (music)TelecommunicationsEngineeringPulse-amplitude modulationDetector

Abstract

fetched live from OpenAlex

A sophisticated simulation package for automatic vehicle monitoring (AVM) systems using a pulse ranging technique has been developed. Using a multipath propagation database, location-error statistics have been obtained for mobile units operating in areas with various degrees of urbanization. The effect of the number and relative position of sensors on location-error statistics has been studied in detail. The performance of various linear and nonlinear optimization techniques has been tested by computer simulation. Application of the package to locating vehicles and portables in digital cellular radiotelephone systems for the purpose of channel assignment and handoff supervision has been studied. It is shown that such techniques are quite feasible even in the worst multipath propagation conditions.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.910
Threshold uncertainty score0.366

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 head0.010
GPT teacher head0.198
Teacher spread0.188 · 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

Quick stats

Citations30
Published2002
Admission routes1
Has abstractyes

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