MétaCan
Menu
Back to cohort
Record W2551643367 · doi:10.1109/lcomm.2016.2631173

Robust TC-OLA Reception With Frequency Domain Equalization for Ultrawideband (UWB) Applications

2016· article· en· W2551643367 on OpenAlexafffund
Stephen Harrison, Peter F. Driessen

Bibliographic record

VenueIEEE Communications Letters · 2016
Typearticle
Languageen
FieldEngineering
TopicUltra-Wideband Communications Technology
Canadian institutionsUniversity of Victoria
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsCyclic prefixComputer scienceEqualization (audio)Redundancy (engineering)Frequency domainAlgorithmSignal processingOverhead (engineering)Electronic engineeringBit error rateOrthogonal frequency-division multiplexingTelecommunicationsDigital signal processingComputer hardwareChannel (broadcasting)Decoding methodsEngineering

Abstract

fetched live from OpenAlex

A variant of time-compression overlap-add (TC-OLA) is proposed as an alternate physical layer scheme for ultrawideband communications. Although the construction of the transmitted signal is identical to other TC-OLA applications, this letter explores block-based receiver structures using frequency domain equalization (FDE) techniques that allow for a longer delay spread relative to the window size than time-domain TC-OLA processing. An important and novel contribution of this method is the reduction or elimination of the cyclic prefix (CP) overhead due to the way that redundancy is added to the transmitted signal by the TC-OLA process. Unlike overlap FDE, the CP overhead is eliminated without the increased processing load required to maintain a practically useful bit error rate floor. For very high delay spread channels, such as CM8, a long effective CP length can be obtained without requiring a much longer fast Fourier transform block length to maintain efficiency.

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: Methods · Consensus signal: none
Teacher disagreement score0.818
Threshold uncertainty score0.857

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 science0.0020.000
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 head0.027
GPT teacher head0.231
Teacher spread0.204 · 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
GenreMethods

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

Citations0
Published2016
Admission routes2
Has abstractyes

Explore more

Same venueIEEE Communications LettersSame topicUltra-Wideband Communications TechnologyFrench-language works237,207