Signal integrity analysis of transmission lines backed by electromagnetic bandgap structures in high speed systems
Why this work is in the frame
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Bibliographic record
Abstract
Signal integrity in transmission lines routed above an Electromagnetic Bandgap (EBG) structure is investigated in this thesis. The EBG structure can be designed to induce a wide omni-directional stopband and when it is employed in a conventional parallel plate power distribution network (PDN), efficient suppression of power/ground or simultaneous switching noise is provided. However, the signal lines that are routed above the EBG structure see an interrupted return current path. To investigate this loading effect, a number of signal routing scenarios in a PDN with an embedded mushroom-type EBG structure are investigated through full-wave simulations. Also one of the sample prototypes was fabricated and characterized in frequency and time domain measurements by S-parameters and the output eye diagrams. Furthermore, an equivalent lumped-element circuit is developed to represent the EBG return path. This model is further developed to be applicable to the studied routing scenarios and can be easily incorporated in commercial circuit simulators. The proposed models enable rapid signal integrity analysis as well as global system simulations. Verified by both simulation and measurement results, the signal integrity characteristics of the signal lines backed by an EBG structure are degraded. In order to improve the quality of signal transmission, a modified configuration is introduced. This solution, which utilizes a solid conductor island in the EBG reference plane, offers an optimal insertion loss profile while maintaining noise suppression characteristics of the embedded EBG structure in the PDN.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it