Electronic Post-Compensation of Dispersion for DML Systems Using SCM and Direct Detection
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Bibliographic record
Abstract
A novel electronic dispersion post-compensation algorithm is described and experimentally demonstrated for short reach optical links employing a directly modulated laser (DML) as a transmitter with subcarrier modulation (SCM) and digital signal processing enabled direct detection receiver. The proposed algorithm utilizes the functional relationship between the DML output optical power and chirp in deducing the received optical phase, which is normally lost under direct detection. Subsequently, standard frequency domain equalization is performed to mitigate the link dispersion. The proposed algorithm is applied to a single polarization 56 Gb/s and a dual polarization 112 Gb/s half-cycle Nyquist SCM signal transmitted over 4 km of single mode fiber. A 3 dB and 5 dB improvement in received optical power relative to the uncompensated system performance is achieved for the 56 Gb/s and 112 Gb/s signals at a bit error ratio of 1.0×10 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">-3</sup> , respectively.
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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 | 0.000 |
| 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 it