Time-Delay Signature Suppressed Microwave Chaotic Signal Generation Based on an Optoelectronic Oscillator Incorporating a Randomly Sampled Fiber Bragg Grating
Bibliographic record
Abstract
We propose a technique to generate microwave chaotic signals with suppressed time-delay signature (TDS) based on an optoelectronic oscillator (OEO) incorporating a randomly sampled fiber Bragg grating (RS-FBG). The key component in the system is the RS-FBG, which is designed and fabricated with multiple randomly distributed sub-FBGs through random spatial sampling. The incorporation of the RS-FBG in an OEO would introduce multiple randomly distributed feedbacks with randomly distributed time delays, which would reduce the TDS in the generated microwave chaotic signal. The architecture of the proposed OEO and its operation for TDS suppression are discussed. A modified Ikeda time-delayed model to analyze the complex dynamics employing a RS-FBG is investigated. Both simulation and experimental results indicate that the TDS of the generated chaotic signals can be suppressed by 23 dB as compared with an OEO without using a RS-FBG.
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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 | 0.000 | 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 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".