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Record W2166004849 · doi:10.1109/rfic.2009.5135576

W-band 65-nm CMOS and SiGe BiCMOS transmitter and receiver with lumped I-Q phase shifters

2009· article· en· W2166004849 on OpenAlexaff
Ioannis Sarkas, Mehdi Khanpour, A. Tomkins, P. Chevalier, P. Garcia, Sorin P. Voinigescu

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicRadio Frequency Integrated Circuit Design
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCMOSBiCMOSTransmitterElectrical engineeringInductorBandwidth (computing)OptoelectronicsD bandPhysicsSilicon-germaniumMaterials scienceEngineeringTransistorTelecommunicationsSiliconOpticsVoltage

Abstract

fetched live from OpenAlex

This paper describes 80-94 GHz and 70-77 GHz I-Q phase shifters and the corresponding transmitter and receiver ICs, fabricated in 65-nm CMOS and SiGe BiCMOS technologies, respectively. Lumped inductors and transformers are employed to realize small-form factor 90deg hybrids as needed in high density phased arrays. The CMOS transmitter operates with a saturated output power of +3 dBm and exhibits maximum absolute phase and amplitude errors of 14deg and 5.5 dB, respectively, when the phase is varied from 0deg to 360deg in steps of 22.5deg. The absolute phase error in the SiGe BiCMOS receiver is less than 8deg, with a maximum gain imbalance below 3 dB over its 3-dB bandwidth of 70-77 GHz. The peak gain and power consumption are 3.8 dB and 142 mW from 1.2 V supply for the CMOS transmitter, and 17 dB and 128 mW from 1.5 V and 2.5 V supplies for the SiGe BiCMOS receiver.

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 score0.002
Threshold uncertainty score0.006

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.002

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 head0.004
GPT teacher head0.185
Teacher spread0.181 · 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

Citations55
Published2009
Admission routes1
Has abstractyes

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