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Record W2369080818

Multiple Input Multiple Output Ultra Wideband Channel Modeling and Simulation

2012· article· en· W2369080818 on OpenAlex
Shuai He

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

VenueJisuanji fangzhen · 2012
Typearticle
Languageen
FieldEngineering
TopicUltra-Wideband Communications Technology
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsMIMOMultipath propagationAngle of arrivalSpatial correlationChannel (broadcasting)Electronic engineeringWidebandUltra-widebandAntenna (radio)Delay spreadComputer scienceAntenna arrayTelecommunicationsAlgorithmEngineering
DOInot available

Abstract

fetched live from OpenAlex

According to the structure of antenna arrays and the propagation direction of multipath components,a new multiple input multiple output(MIMO) ultra wideband(UWB) stochastic channel model was proposed from IEEE802.15.3a standard channel model based on parallel ray approximation.The multipath amplitude,phase and arrival time were introduced into the channel model.The extracted channel parameters meet the requirement of UWB channels.From the measurement results,the angle of departure(AOD) and angle of arrival(AOA) can be approximated by Laplace distribution.The relationship between spatial correlation,channel capacity and antenna spacing,angle spread demonstrates that the channel model meets the spatial correlation characteristics in the practical environments.This channel model has great significance for the research of MIMO UWB systems.

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 score0.165
Threshold uncertainty score0.921

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 head0.029
GPT teacher head0.247
Teacher spread0.217 · 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