Waveguide Quarter-Wave Transverse Ridge Resonators on Quasi-TEM Wave and Filters on Their Basis
Bibliographic record
Abstract
Introduction. In modern communication systems, the requirements imposed on the weight, size, and frequency characteristics of filters in the input and output paths of antenna-feeder devices (AFD) are becoming increasingly stringent. Taking this into account, we investigate a transverse waveguide ridge resonator of a quarter-wave structure. The use of a quarterwave resonator, rather than a half-wave structure, allows the width and length of the filter to be reduced. The influence of various resonator parameters on its resonant frequency is demonstrated. The dependence of the loaded Q-factor on the height of the transverse ridge quarter-wave resonator is calculated. The calculated waveguide filters on resonators of this type offer the possibility of forming attenuation poles both above and below the passband.Aim. Investigation of various types of filters on ridge quarter-wave resonators, as well as evaluation of the rejection band by level and by width.Materials and methods. Numerical studies were carried out using the methods of finite elements (FEM) and finite difference in the time domain (FDTD).Results. Simulation of various types of fiveand ten-order filters on ridge quarter-wave resonators was performed. Five-order filters, depending on the arrangement of the resonators, are capable of forming attenuation poles both above and below the passband. A ten-order filter on transverse ridge quarter-wave resonators at receiving frequencies of the X-band (7.25…7.75 GHz) provides insertion losses of no more than 1.2 dB, while the attenuation level in the transmission frequency range (7.9…8.4 GHz) is at least 80 dB.Conclusion. The use of filters on ridge quarter-wave resonators ensures a significant reduction in length and improvement in weight and size characteristics, while maintaining a high level of attenuation in the stop band.
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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) | 0.000 | 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 | 0.001 |
| 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".