Dual-Band Reconfigurable Impedance Matching Networks
Bibliographic record
Abstract
This article presents a novel methodology for designing Dual-band Reconfigurable Impedance Matching Networks (Db-RIMNs) using a cascade network of tunable filters and phase shifters. The proposed design can be used to match frequency dependent and impedance variable dual-band loads. The theory of operation, the design considerations, and the design procedure are provided. Moreover, a prototype circuit is designed for a dual-band variable load at sub-6 GHz bands. The performance of the proposed design is not restricted by the range of realizable characteristic impedances. Moreover, the achievable impedance coverage and frequency ratio of the two bands are not restricted by the circuit fabrication limitations. Finally, the performance in terms of matched bandwidth and losses are investigated. The simulation and measurement results for a fabricated prototype are in close agreement. The proposed design has a wide range of anticipated applications in design of concurrent dual band power amplifiers, multiband antennas, phased arrays, to name a few. The cascade architecture of tunable filters and phase shifters is the sole published design for Db-RIMNs in the literature.
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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".