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Record W4251034338 · doi:10.22215/etd/2015-10899

Gallium Nitride Phase Shifters

2015· dissertation· en· W4251034338 on OpenAlexafffund
Tyler Ross

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEngineering
TopicRadio Frequency Integrated Circuit Design
Canadian institutionsNational Research Council CanadaCarleton UniversityCommunications Research Centre Canada
FundersUniversité de Moncton
KeywordsPhase shift moduleInsertion lossMonolithic microwave integrated circuitReturn lossGallium nitrideMaterials scienceHigh-electron-mobility transistorOptoelectronicsBandwidth (computing)MicrowaveBalunElectrical engineeringEngineeringElectronic engineeringTelecommunicationsTransistorAmplifierCMOS

Abstract

fetched live from OpenAlex

This thesis presents two different types of high-power gallium nitride (GaN) phase shifters designed for X-band (8-12 GHz) but offering good performance over a much wider band. The first type of phase shifter is a novel design having 22.5phase shift, which promises wide bandwidth (in this case limited by the SPDT switch also designed), but achieves decent insertion loss (5 dB), good return loss (better than 11 dB) and very low phase variation (1) across X-band. The components for a 45differential phase shift using the same structure were also fabricated and verified with measurements. The second type of phase shifter is a 22.5switched-filter phase shifter which has much wider bandwidth than is typically found with this configuration, while maintaining low insertion loss (<2 dB), good return loss (>11.15 dB) and an amplitude imbalance of less than 1.03 dB across X-band. The 1 dB compression point was higher than the laboratory equipment was able to measure (>38 dBm) and the phase shifter monolithic microwave integrated circuit (MMIC) exhibited an input-referred thirdii ABSTRACT iii order intercept point (IIP 3 ) higher than 46 dBm. A K-band phase shifter was also designed to test the limits of the technology. The high-power phase shifters have been fabricated in a 0.5 m GaN HEMT process and were designed using an accurate, customized switch HEMT model. Suspended inductors offering improved quality factor and increased self-resonance frequency were also used in the design of some of the phase shifters. I must also thank Dr. Khelifa Hettak from

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.910
Threshold uncertainty score1.000

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.019
GPT teacher head0.282
Teacher spread0.263 · 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.

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

Citations1
Published2015
Admission routes2
Has abstractyes

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