A Large Swing, 40-Gb/s SiGe BiCMOS Driver With Adjustable Pre-Emphasis for Data Transmission Over 75 $\Omega$ Coaxial Cable
Bibliographic record
Abstract
A fully differential 40-Gb/s cable driver with adjustable pre-emphasis is presented. The circuit is fabricated in a production 0.18 mum SiGe BiCMOS technology. A distributed limiting architecture is used for the driver employing high-speed HBTs in the lower voltage predriver, and a high-breakdown MOS-HV-HBT cascode, consisting of a 0.18 mum n-channel MOSFET and a high-voltage HBT (HV-HBT), for the high voltage output stages. The circuit delivers up to 3.6 V peak-to-peak per side into a 75 Omega load with variable pre-emphasis ranging from 0 to 400%. S-parameter measurements show 42 dB differential small-signal gain, a 3-dB bandwidth of 22 GHz, gain peaking control up to 25 dB at 20 GHz and input and output reflection coefficients better than -10 dB up to 40 GHz. Additional features of the driver include output amplitude control (from 1 Vppto 3.6 Vppper side), pulse-width control (35% to 65%) and an adjustable input dc level (1.1 V to 1.8 V) allowing the circuit to interface with a SiGe BiCMOS or MOS-CML SERDES. The transmitter is able to generate an eye opening at 38 Gb/s after 10 m of Belden 1694 A coaxial cable which introduces 22 dB of loss at 19 GHz. Measurement results also demonstrate that the transmitter IC operates as a standalone equalizer for 10-Gb/s data transmission over 40 m of Belden cable without the need for receiver equalization.
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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) | 0.003 | 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".