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Record W4248940443 · doi:10.22215/etd/2014-10617

Reconfigurable Matching Networks for High Power GaN Microwave Amplifiers

2014· dissertation· en· W4248940443 on OpenAlexaboutno aff
Alaa Aglan

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEngineering
TopicAdvanced Power Amplifier Design
Canadian institutionsnot available
Fundersnot available
KeywordsTunerSmith chartMonolithic microwave integrated circuitImpedance matchingAmplifierElectronic engineeringEngineeringTransistorElectrical engineeringPower (physics)Electrical impedanceMicrowaveFabricationRadio frequencyVoltageTelecommunicationsPhysicsCMOS

Abstract

fetched live from OpenAlex

This thesis demonstrates the feasibility of using a GaN monolithic reconfigurable matching network to provide variable load impedance matching coverage for microwave power amplifiers operating in the X-band (8-12GHz). The National Research Council's GaN500 (0.5 micron) HFET process, fabricated at the Canadian Photonics Fabrication Center (CPFC), is employed throughout this work. An initial investigation of various switch topologies is first conducted, showing the advantages and limitations of using single and multi-transistor switch realizations for the development of a multi-stage programmable impedance tuner (PIT). Then, the design, optimization, fabrication and testing of a single stage of the proposed PIT structure are presented. The results show an extensive range of impedance coverage on the Smith Chart can be achieved, although this range is limited by losses. Finally, the co-integration of the resulting programmable tuners within a GaN power amplifier circuit is simulated, and its performance is studied.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.898
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.008
GPT teacher head0.225
Teacher spread0.217 · 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 designNot applicable
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
Published2014
Admission routes1
Has abstractyes

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