Substrate Integrated Waveguide Electrically Tunable Equalizer Based on Varactor and p-i-n Diodes/Transistors
Bibliographic record
Abstract
In this article, a novel design method of substrate integrated waveguide (SIW) electrically tunable equalizer, based on varactor and p-i-n diodes/transistors, is proposed. It can operate in various frequency bands (up to millimeter-wave) and achieve dynamic adjustment, including center frequency and equalization value controlled by various analog control voltages, acting on varactor diodes and p-i-n diodes/transistors, respectively. In this work, the working principle and design method of SIW electrically tunable equalizer are discussed in detail. A hybrid distributed-lumped element equivalent circuit model is employed to thoroughly analyze SIW structure, providing detailed performance evaluation over a wide frequency band. The equalizer is composed of multiple resonant units, each of which can be regarded as a parallelRLCresonance circuit. For the prototypes of SIW equalizer based on varactors and p-i-n diodes, the measurement results show that the return losses are almost better than 18.8 and 10 dB, and the equalization values are up to 30.81 and 37.94 dB over the wholeKu-band andKa-band, respectively. In order to reduce control voltage sensitivity, the transistors operating in the triode region are introduced as variable resistors to replace p-i-n diodes. For SIW equalizers based on varactors and transistors, the measurement results show that the equalization value can exceed 32.03 dB inKu-band. Different from previous studies, this is the first report about electrically tunable equalizers with concave and monotonic characteristics on a single printed circuit board (PCB) in the research field.
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 | 0.000 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".