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Record W1854188495 · doi:10.1109/icupc.1993.528352

Angle of arrival analysis of the indoor radio propagation channel

2002· article· en· W1854188495 on OpenAlexaff
D. Tholl, M. Fattouche

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMillimeter-Wave Propagation and Modeling
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsAngle of arrivalMultipath propagationDirection of arrivalTime of arrivalRadio propagationImpulse (physics)Impulse responseAcousticsMultiple signal classificationComputer scienceChannel (broadcasting)Arrival timeDelay spreadRadio channelPhysicsTelecommunicationsEngineeringMathematicsMathematical analysisAntenna (radio)

Abstract

fetched live from OpenAlex

Knowledge of the statistics of the angle of arrival can be used as the basis of a model for the simulation of impulse response functions of the indoor radio propagation channel over small spatial separations. Results of an analysis of the angle of arrival distribution for an extensive database of indoor radio propagation measurements are presented. Multiple Signal Identification and Classification (MUSIC) is used to estimate the angle of arrival of sub-components within the resolved multipath components of the measured impulse response functions. Distributions for the number of and angle of arrival of these sub-components are presented for varying excess delays.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.332
Threshold uncertainty score0.280

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.023
GPT teacher head0.195
Teacher spread0.172 · 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 designSimulation or modeling
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

Citations8
Published2002
Admission routes1
Has abstractyes

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