Modeling the Transient Radiated and Received Pulses of Ultra-Wideband Antennas
Bibliographic record
Abstract
In this paper, we propose a method for modeling the transient radiated and received pulses of ultra-wideband (UWB) planar aperture antennas. The proposed method is able to analytically model the angle-dependent pulse distortion of the antennas. The method relates the input pulse of an antenna to its transient radiated fields, and the incident transient fields to its output pulse. This method needs to estimate the antenna's aperture field distribution from time-domain antenna measurements. Using the proposed method, the received pulses from three different antennas-a ridged-horn, a dielectric loaded horn, and a Vivaldi antenna-are modeled and compared with the measured received pulses. A comparison of pulse shape, amplitude, and energy shows very good agreement. Different input pulses are also examined for the experimental evaluation of the proposed method. The method allows designers to analytically estimate the antenna effect on transmitted pulse enabling the inclusion of pulse distortion by the antenna into the ultra-wideband transceiver design.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".