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Record W2164625946 · doi:10.1109/icuwb.2007.4381043

Robust Detectors for TH IR-UWB Systems with Multiuser Interference

2007· article· en· W2164625946 on OpenAlex
Jeebak Mitra, Lutz Lampe

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
TopicUltra-Wideband Communications Technology
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsInterference (communication)DetectorElectromagnetic interferenceComputer scienceElectronic engineeringTelecommunicationsEngineeringChannel (broadcasting)

Abstract

fetched live from OpenAlex

It has been recently established that multiuser interference (MUI) in time-hopping impulse-radio ultra-wideband (TH IR-UWB) systems is highly impulsive and hence the conventional matched filter (MF) receiver based on the assumption of Gaussian MUI is no longer optimum. In this paper, two novel receiver structures for detecting TH IR-UWB signals in the presence of MUI are proposed. The first detector is based on a two-term approximation for the distribution of the interference process and noise and the second uses a non-linear penalty function for the decision statistic. Simulation results show that the proposed detectors perform considerably better than the conventional MF receiver and also outperform a recently devised soft-limiting detector in MUI limited environments.

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: none
Teacher disagreement score0.743
Threshold uncertainty score0.343

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 head0.023
GPT teacher head0.212
Teacher spread0.190 · 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

Citations12
Published2007
Admission routes1
Has abstractyes

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