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Record W1976502197 · doi:10.1049/ip-cds:20020605

Very low-voltage (0.8 V) CMOS receiver frontend for 5 GHz RF applications

2002· article· en· W1976502197 on OpenAlexafffund
Mourad N. El-Gamal, K.H. Lee, T.K.K. Tsang

Bibliographic record

VenueIEE Proceedings - Circuits Devices and Systems · 2002
Typearticle
Languageen
FieldEngineering
TopicRadio Frequency Integrated Circuit Design
Canadian institutionsMcGill University
FundersNatural Sciences and Engineering Research Council of CanadaCMC Microsystems
KeywordsNoise figureCMOSLow-noise amplifierElectrical engineeringAmplifierVoltageRF front endAutomatic gain controlRadio receiver designRadio frequencyElectronic engineeringPhysicsEngineeringTransmitterChannel (broadcasting)

Abstract

fetched live from OpenAlex

A fully integrated low-voltage RF receiver front end for 5 GHz radio applications, implemented in a standard 0.18 μm CMOS technology, is presented. The receiver consists of a differential low noise amplifier, an active mixer, and a quadrature voltage-controlled oscillator. The complete receiver is packaged in a standard 24-pin ceramic flat pack and consumes 56 mW from a 0.8 V supply. Measurement results show that the receiver has an overall noise figure of 7 dB, a −1 dBm input-referred IIP3, and 22 dB of image rejection. A stand-alone single-ended version of the LNA is also presented. Simple mechanisms for tuning the gain and the centre frequency of the LNA are proposed. With a supply voltage of 1 V, the LNA provides a power gain of 13.2 dB, has a noise figure of 2.5 dB, and over 10 dB of gain control and 360 MHz of frequency tuning. The LNA still operates well from a supply voltage as low as 0.7 V, providing a power gain of 7 dB.

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 score0.006
Threshold uncertainty score0.020

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 communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.003

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 head0.026
GPT teacher head0.210
Teacher spread0.184 · 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

Citations44
Published2002
Admission routes2
Has abstractyes

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Same venueIEE Proceedings - Circuits Devices and SystemsSame topicRadio Frequency Integrated Circuit DesignFrench-language works237,207