On the Performance Analysis and Design of an Integrated Front-End PIN/HBT Photoreceiver
Bibliographic record
Abstract
A detailed study on the performance analysis and optimum design of an integrated front-end PIN/HBT photoreceiver for fiber-optic communication is presented. Receiver circuits with two different transimpedance amplifiers-a single-stage common emitter (CE) amplifier and a three-stage amplifier comprising a CE amplifier and two emitter followers (EFs), are analyzed assuming a standard load of 50 /spl Omega/. A technique to include the transit-time effect of a PIN photodetector on the overall receiver circuit analysis is introduced and discussed. Gain-bandwidth product (GB) and gain-bandwidth-sensitivity measure product (GBS) are obtained as functions of feedback resistance (R/sub F/) and various device parameters. Hence, some optimum designs are suggested using a photodetector of area 100 /spl mu/m/sup 2/ and with a feedback resistance of 500 /spl Omega/. The bandwidth plays a major role in determining the optimum designs for maximum GB and maximum GBS. A bandwidth >8 GHz has been obtained for the photoreceiver even with a single-stage CE amplifier. The optimum design for a receiver with a three-stage amplifier shows a bandwidth of 35 GHz which is suitable for receivers operating well beyond 40 Gb/s; however, in this case, the gain is reduced. The performance of different fixed square-emitter structures are investigated to choose the optimum designs corresponding to different gains. Very low power dissipation has been estimated for the optimized devices. The noise performance of the devices with optimum designs was calculated in terms of the minimum detectable optical power for a fixed bit-error rate of 10/sup -9/. The present design indicates that GB and noise performance can be improved by using an optimum device design.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 |
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".