A New Compact Bandpass Filter for 5G MillimeterWave Communications
Bibliographic record
Abstract
This research presents an innovative compact filter specifically designed for millimeter-wave communications in the context of 5 G technology. The filter is characterized by dimensions measuring $3.6 \mathrm{~mm} \times 1.8 \mathrm{~mm} \times 0.8 \mathrm{~mm}$ and utilizes FR4 as the substrate material. The analysis conducted through HFSS (High-Frequency Structure Simulator) simulation facilitated a thorough examination of the filter’s efficiency. The suggested bandpass filter exhibits a significant bandwidth spanning from 36.2 GHz to 39.6 GHz, with its central frequency set at 37.6 GHz. It showcases impressive specifications, including a return loss below -32.15 dB, an insertion loss of -1.3 dB, a fractional bandwidth (FBW) of $\mathbf{9} \%$, and a quality factor of 11. Particularly, the Voltage Standing Wave Ratio (VSWR) stands at 1 at the resonance frequency, with the group delay consistently staying under 91 picoseconds throughout the designated frequency spectrum. Importantly, the operational bandwidth of the filter aligns seamlessly with the frequency regulations of various countries, encompassing Australia (39 GHz), the United States (37-37.6 GHz), and Canada (37 - 37.6 GHz).
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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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".