Wavelength Reuse in a UWB Over Fiber System Based on Phase-Modulation to Intensity-Modulation Conversion and Destructive Interferencing
Bibliographic record
Abstract
A novel wavelength reuse scheme based on phase-modulation to intensity-modulation (PM-IM) conversion and destructive interferencing using a polarization modulator (PolM) and a fiber Bragg grating (FBG) in an ultra-wideband (UWB) over fiber (UWBoF) system is proposed and experimentally demonstrated. In the proposed scheme, a PolM and an FBG in the central station (CS) are used to generate intensity-modulated impulse UWB signal based on PM-IM conversion. The downstream UWB signal is sent to a base station (BS) over an optical fiber. At the BS, when the principle axis of the polarizer is aligned with one of the two orthogonal states of polarization (SOPs), the downstream UWB signal is received and detected. When the principle axis of the polarizer is oriented at a special angle to one of the two orthogonal SOPs, a clear optical carrier without intensity modulation is generated, which is then reused for upstream UWB data transmission. A theoretical analysis is performed which is verified by an experiment. A bidirectional point-to-point transmission of 1.25 Gb/s UWB signal over 25-km single-mode fiber (SMF) using a single light source from the CS is demonstrated. The receiver sensitivity and the BER performance for both downstream and upstream transmissions are measured.
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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) | 0.000 | 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 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".