Bibliographic record
Abstract
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.I would like to thank my supervisor, Dr. Langis Roy for his relentless support and patience; and co-supervisor, Dr. Rony Amaya, for inspiring the topic of this master's thesis and for his generosity with his vast knowledge and insight.I am indebted to Nagui Mikhail, who throughout the years at Carleton University, has always gone above and beyond to ensure both software and hardware in the department of electronics is running smoothly.His efforts to ensure I had all the components and equipment I needed to test my chip will not be forgotten.Also, special thanks are reserved for fellow
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".