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Record W2749154195 · doi:10.1002/mop.30809

A V‐band high dynamic range planar integrated power detector: Design and characterization process

2017· article· en· W2749154195 on OpenAlexafffund
C. Hannachi, B. Zouggari, Razvan I. Cojocaru, Tarek Djerafi, Serioja Ovidiu Tatu

Bibliographic record

VenueMicrowave and Optical Technology Letters · 2017
Typearticle
Languageen
FieldEngineering
TopicRadio Frequency Integrated Circuit Design
Canadian institutionsInstitut National de la Recherche Scientifique
FundersFonds de recherche du Québec – Nature et technologiesNatural Sciences and Engineering Research Council of Canada
KeywordsDetectorSchottky diodeMaterials scienceMicrostripDynamic rangeResponsivityOptoelectronicsMicrowavePlanarBandwidth (computing)Extremely high frequencyImpedance matchingBroadbandElectrical impedanceDiodeElectronic engineeringElectrical engineeringOpticsEngineeringComputer sciencePhysicsTelecommunicationsPhotodetector

Abstract

fetched live from OpenAlex

Abstract In this paper, a high dynamic range V‐band power detector designed in thin film Miniature Hybrid Microwave Integrated Circuit (MHMIC) process is presented and characterized. The commercially available HSCH‐9161 millimeter‐wave zero bias GaAs Schottky diode is selected to manufacture the proposed power detector circuit, along with a broadband rectangular WR12 waveguide to microstrip transition, and an optimized microstrip impedance matching network. The design and characterization steps are described in detail to provide a consistent methodology to design high‐performance power detectors, while taking into account the accuracy, nonlinearity, and limitation of the measurement devices. The fabricated power detector prototype exhibits good input impedance matching (bandwidth of 3.8 GHz), high operational stability over 58.5–62 GHz frequency range, excellent sensitivity (−48 dBm), and high detection responsivity (peak of 8250 mV/mW at 61.2 GHz).

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 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: Empirical
Teacher disagreement score0.112
Threshold uncertainty score0.979

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.007
GPT teacher head0.204
Teacher spread0.197 · 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 teacher head, 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

Citations7
Published2017
Admission routes2
Has abstractyes

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