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Record W2140711905

A novel size reduction of a MMIC I/Q direct down converter in uniplanar technology at 20 GHz using CPW and ACPS stubs loading for an EHF satcom terminal phased array size

2009· article· en· W2140711905 on OpenAlexaff
Khelifa Hettak, C.J. Verver, G.A. Morin, M.G. Stubbs

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicRadio Frequency Integrated Circuit Design
Canadian institutionsCommunications Research Centre Canada
Fundersnot available
KeywordsMonolithic microwave integrated circuitElectrical engineeringRadio frequencyBasebandWilkinson power dividerLocal oscillatorIntermediate frequencyMaterials scienceOptoelectronicsPhysicsEngineeringFrequency dividerCMOSAmplifier
DOInot available

Abstract

fetched live from OpenAlex

This paper proposes a novel compact uniplanar 20 GHz/baseband I/Q direct downconverter GaAs MMIC. It uses previously developed ACPS and CPW structures for capacitive and inductive loading techniques to drastically reduce its size. The proposed I/Q down converter uses direct analog extraction of the baseband in-phase and quadrature (I and Q) signals from the 20 GHz RF signal. Two pairs of antiparallel diodes achieve frequency translation by mixing the RF signal with the fundamental local oscillator (LO) pump while novel ACPS reduced size magic T, provide high local oscillator (LO)-to-RF isolation and good spurious suppression. The circuit was fabricated using OMMIC's ED02AH foundry process and contains two pairs of 0.18 µm PHEMT based diodes, each having two 15-µm cathode fingers. This 3.15 × 4.1 mm2 chip uses a previously developed, reduced size Wilkinson divider as an RF divider and a previously developed, reduced size 90° coupler. The I/Q down converter conversion gain was measured to be - 15.5dB ±1dB over the RF frequency range of 20.2 to 21.2 GHz with the IF fixed at 1 MHz. The amplitude imbalance between the I&Q channels was under 0.8dB and the quadrature phase error was less than 4°over the frequency range. The circuit also does not require any dc bias. Compared to the conventional microstrip I/Q direct down converter a 40% reduction in circuit area was achieved with better performance.

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 score0.007

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 science0.0010.000
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 head0.021
GPT teacher head0.253
Teacher spread0.231 · 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

Citations0
Published2009
Admission routes1
Has abstractyes

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