Systematic Approach to Estimating Monocycle Pulse for Time-Domain Studies of UWB Antennas Using Numerical Computations and Simulation Tools
Bibliographic record
Abstract
This article describes a new technique for determining an appropriate input pulse and its duration, which are important for time-domain studies of ultra-wideband (UWB) antennas. For such studies, the researchers normally prefer EM simulation tools, and use different types of input pulses. The basis of the choice of input pulse is a bit obscure in most of the reports appearing in the open literature. Antenna researchers indeed face a problem in having suitable guidelines for choosing the input pulse, a mathematical approach to generate it, and in estimating the pulse's duration. The width or duration of the input pulse cannot be arbitrary. This plays a significant role in determining the reliable time-domain response of the antenna in both transmitting and receiving modes. This is successfully addressed in this paper, taking a UWB monopole as the antenna under test. The proposed technique should accurately guide and help a researcher to perform the time-domain characterization of a UWB monopole/dipole antenna using mathematical tools and EM simulators commercially available.
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How this classification was reachedexpand
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".