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Record W2119236771 · doi:10.1109/cicc.2008.4672152

Design of low power CMOS ultra-wideband 3.1–10.6 GHz pulse-based transmitters

2008· article· en· W2119236771 on OpenAlexafffund
Kuan‐Yu Lin, Mourad N. El-Gamal

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicUltra-Wideband Communications Technology
Canadian institutionsMcGill University
FundersNatural Sciences and Engineering Research Council of CanadaCMC Microsystems
KeywordsNMOS logicTransmitterUltra-widebandCMOSElectrical engineeringElectronic engineeringSIGNAL (programming language)WidebandComputer scienceVoltageEngineeringTransistorChannel (broadcasting)

Abstract

fetched live from OpenAlex

The design of two low power CMOS ultra-wideband (UWB) pulse-based transmitters is reported. The goal is to propose simple, low power, and tunable topologies for full-band and sub-band UWB transmitters. The first transmitter utilizes a gated ring oscillator, an NMOS switch, and a passive pulse shaping filter to generate a 3.1–10.6 GHz full-band UWB signal. The second transmitter multiplies a carrier and a triangular signal to up-convert and generate a low side-band UWB signal for sub-band applications. We propose the use of two NMOS switches in series to perform this multiplication while consuming minimum power. Control voltages incorporated in both designs are used to adjust the shapes of the pulses to compensate for mismatch and process variations. Both the full-band and sub-band transmitters, fabricated in a 0.18 μm CMOS process, generate FCC compliant UWB signals with a supply voltage of 1.8 V and power consumptions of 237.4 and 254.9 μW, respectively.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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 communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.020
GPT teacher head0.208
Teacher spread0.188 · 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 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

Citations11
Published2008
Admission routes2
Has abstractyes

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