Monolithically Integrated Multiport RF MEMS Switch Matrices
Bibliographic record
Abstract
The design methodology and performance of a miniature-size monolithically integrated RF microelectro-mechanical systems switch matrix is reported. The switch matrix has the form a of cross-bar configuration that can be easily expanded to realize a large size switch matrix. Three single-pole single-throw RF switches coupled to coplanar waveguide transmission lines are employed to construct the unit cell with dimensions of only 320 × 320 ¿m2. The compact design of the proposed cell permits the high frequency operation of large switching networks. A six-mask fabrication process has been developed to construct the entire structure on a single side of the wafer. The impact of bias line resistance on the RF performance and the switching speed of the devices were studied. An excellent RF performance is achieved for a fabricated 4×4 switch matrix using high-resistive phosphorous-doped hydrogenated amorphous silicon semiconductor as the material of choice for the biasing lines. Over a frequency range from DC to 40 GHz, the worstcase measured results obtained for the insertion loss, return loss, and isolation are -1.8, -17, and 26 dB, respectively. A wide-band operation is predicted for an 8 × 8 switch matrix version constructed from 64 switching units.
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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 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 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".