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Record W2107330511 · doi:10.1109/ccece.2006.277706

Narrowband Interference Detection in UWB Systems

2006· article· en· W2107330511 on OpenAlexaff
Huy Quang Quach, Anh Dinh

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicUltra-Wideband Communications Technology
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsNarrowbandComputer scienceElectronic engineeringBandwidth (computing)DetectorSpectrogramUltra-widebandPulse-position modulationWidebandSpread spectrumChannel (broadcasting)TelecommunicationsEngineeringSpeech recognitionPulse-amplitude modulationPulse (music)

Abstract

fetched live from OpenAlex

In February 2002, the FCC (2002 a, b) issued a ruling that UWB could be used for data communications as well as radar and safety applications. UWB system is constrained to have a maximum power transmission of -41 dB and a bandwidth ranging from 3.1-10.6 GHz. UWB co-exists and does not interfere with existing narrowband or wideband communication systems in the same spectrum. However, due to low transmitting power, UWB is affected by the so-called narrowband interference. This paper presents a method to estimate and detect narrowband signals in radio impulse receiver with the intention of eliminating them. The method uses a power spectral density estimation technique called spectrogram to track down the narrowband signal. The spectrogram at specific frequency range of the active narrowband is larger than its overall average power. A threshold detector is built which reports detection at the frequency range where the narrowband is located. The design correctness has been validated by means of Monte-Carlo simulation using UWB IEEE channel models, time hopping-pulse position modulation technique and Rake 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 score0.349
Threshold uncertainty score0.206

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 head0.005
GPT teacher head0.181
Teacher spread0.176 · 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

Citations2
Published2006
Admission routes1
Has abstractyes

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