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Record W2783038451 · doi:10.1109/apmc.2017.8251618

Full mode substrate integrated waveguide type high power amplifier with second harmonic suppression

2017· article· en· W2783038451 on OpenAlexaff
Djitiningo Thierry Joel Diatta, Chan-Wang Park

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsUniversité du Québec à Rimouski
Fundersnot available
KeywordsBand-pass filterAmplifierMicrostripExtremely high frequencyMaterials scienceOptoelectronicsWaveguideElectronic circuitHarmonicSubstrate (aquarium)Filter (signal processing)MicrowaveTransistorElectrical engineeringElectronic engineeringPhysicsComputer scienceEngineeringTelecommunicationsCMOSAcousticsVoltage

Abstract

fetched live from OpenAlex

This article presents a 10 W full-mode substrate integrated waveguide-type high power amplifier. The matching circuit was designed with microstrip-to-SIW transition and SIW bandpass filter. To realize the matching network at the fundamental frequency 2.18 GHz, we used in the SIW bandpass filter an inductive metallized post. A full mode SIW band pass filter is applied to suppress the 2ndharmonic of 2.18 GHz as input and output of the matching circuits. The insertion-loss measurement of the SIW bandpass filter at the frequency 2.18 GHz and 4.36 GHz are 0.86 dB and 34.58 dB respectively. The SIW HPA was designed and fabricated at the frequency of 2.18 GHz using GaN transistor. This measurement of power-added-efficiency at output of 40.02 dBm is 60.7% with a gain of 13.0 dB at the 2.18 GHz. For 4G Long Term Evolution (LTE) and 5G system in millimeter wave, this can be used with other SIW-type of passive circuits by integrating in same substrate.

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 score0.004
Threshold uncertainty score0.012

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 communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.002

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 head0.012
GPT teacher head0.222
Teacher spread0.210 · 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

Citations3
Published2017
Admission routes1
Has abstractyes

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