Novel Microstrip Bandpass Filter for 5G mm-Wave wireless communications
Bibliographic record
Abstract
This paper presents the design of a novel bandpass filter specifically tailored for 5G mm-Wave communications. The filter utilizes a rectangle loop resonator loaded with a stepped impedance line stub at its center. The overall dimensions of the filter are 11.22×13mm2. The design incorporates Rogers RT/duroid 5880 substrate with a relative dielectric constant of 2.2, a loss tangent of 0.0009, and a thickness of 0.64 mm. The resulting filter exhibits a center frequency at 22.65 GHz, with a bandwidth of 10.5 GHz and a fractional bandwidth (FBW) of 46.36%. The reflection coefficient is approximately -39.12 dB, while the insertion loss of about -0.59 dB. We conducted a parametric study to choose the optimal value concerning the form and size of the introduced slot. To evaluate the filter's performance, simulations and assessments were carried out using the High-Frequency Structure Simulator (HFSS). The obtained results demonstrate the filter's suitability for 5G applications in various countries, including the United States (24.75-25.25 GHz), United Kingdom (26 GHz), Australia (24.25-27.5 GHz), Canada (26.5-27.5 GHz), Europe (24.5-27.5 GHz), China (24.75-27.5 GHz), Japan (26.6-27 GHz), and India (24.25-27.5 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 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".