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Record W2136813477 · doi:10.1109/vetecf.2009.5378772

The Temporal Variation of Indoor Ultra-Wideband Channel

2009· article· en· W2136813477 on OpenAlexaff
Shuai He, Xiaodai Dong

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicUltra-Wideband Communications Technology
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsUltra-widebandWirelessTransceiverComputer scienceElectronic engineeringChannel (broadcasting)Time domainImpulse (physics)Delay spreadRadio channelRadio propagationPower delay profileDoppler effectTelecommunicationsReal-time computingAcousticsEngineeringFadingPhysics

Abstract

fetched live from OpenAlex

Ultra-wideband (UWB) technology offers promising solution for future indoor high speed low power wireless communications. The development and design of the UWB systems require detailed characterization of UWB indoor channels, and much work has been reported in the literature. However, the temporal variation induced by people's motion in the vicinity of the transceiver has been scarcely investigated. This paper presents the results of extensive measurements and analysis of the temporal variations of UWB indoor radio propagation channel. Impulse based time domain measurements were carried out and the measurement campaign was conducted in diversified environments in a modern office building, consisting of office, hallway and lobby scenarios. Signal strength fluctuation, time correlation coefficient and Doppler spread are derived from the analysis of the measured data. Moreover, the results emphasize the difference of the temporal fluctuation between UWB and narrow band indoor channels.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.207
Teacher spread0.200 · 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 source (direct Gemma or distilled Codex), 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

Citations1
Published2009
Admission routes1
Has abstractyes

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