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Record W2621184415 · doi:10.1109/iceee2.2017.7935794

Gilbert cell Mixer design in 65nm CMOS technology

2017· article· en· W2621184415 on OpenAlex

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
TopicRadio Frequency Integrated Circuit Design
Canadian institutionsMcMaster University
Fundersnot available
KeywordsGilbert cellCMOSLinearityNoise figureElectrical engineeringPort (circuit theory)Frequency mixerElectronic engineeringCadenceVoltageIntegrated circuit designComputer scienceRadio frequencyEngineeringAmplifier

Abstract

fetched live from OpenAlex

The article reports the design of Gilbert cell mixer using 65 CMOS technology. Cadence software is used to process the circuit design. The proposed down-conversion mixer uses a double balanced Gilbert cell to provide the required performance in gain conversion and isolation among ports. The supply voltage of 1.8V uses a new degenerating structure to improve linearity. The resonant frequency is around 1.9 GHz. The target in this work is minimizing size as well the power consumption (2.17mW). Acceptable linearity with 1dB compression point is -2.54 dBm. The third intercept point (IIP3) is optimized to 6 dBm. The conversion gains of LNA and Mixer is 10 dB when one IF port is terminated to 50Ω. The noise figure obtained at the output is 22dB.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.951
Threshold uncertainty score0.701

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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.017
GPT teacher head0.217
Teacher spread0.199 · 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

Citations19
Published2017
Admission routes1
Has abstractyes

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