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Record W2533667323 · doi:10.1109/tmtt.2016.2613850

An Eight-Element 370–410-GHz Phased-Array Transmitter in 45-nm CMOS SOI With Peak EIRP of 8–8.5 dBm

2016· article· en· W2533667323 on OpenAlexfundno aff
Yang Yang, Ozan Dogan Gurbuz, Gabriel M. Rebeiz

Bibliographic record

VenueIEEE Transactions on Microwave Theory and Techniques · 2016
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsnot available
FundersIndigenous and Northern Affairs Canada
KeywordsCMOSPhased arrayAmplifierdBmEffective radiated powerElectrical engineeringTransmitterV bandBandwidth (computing)Q bandMicrostripSilicon on insulatorChipPhysicsEngineeringOptoelectronicsTelecommunicationsSiliconAntenna (radio)

Abstract

fetched live from OpenAlex

This paper presents a 370-410-GHz phased-array transmitter, which is based on a W-band distribution network, amplifiers, and vector modulators, feeding a linear eight-element quadrupler array. The quadrupler outputs are connected to high-efficiency microstrip antennas. The design is scalable to a large number of elements, since most of the chip operates at W-band frequencies. The chip is built using 45-nm CMOS silicon on insulator technology, which offers transistors with ft and fmax of 250-260 GHz referenced to the top metal. The phased array results an equivalent isotropic radiated power (EIRP) of 5 dBm at 375-405 dBm with a peak EIRP of 7-8.5 dBm at 380-400 GHz and with a pattern scan of +/-35° in one plane. To the best of our knowledge, this is one of the first demonstrations of a phased array operating at 400 GHz using CMOS technology and with wide operating bandwidth.

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: Empirical
Teacher disagreement score0.002
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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.006
GPT teacher head0.212
Teacher spread0.206 · 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

Citations133
Published2016
Admission routes1
Has abstractyes

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