Phase-Coded Millimeter-Wave Waveform Generation Using a Spatially Discrete Chirped Fiber Bragg Grating
Bibliographic record
Abstract
An all-optical approach to generating phase-coded millimeter-wave (mm-wave) waveforms based on optical pulse shaping, using a spatially discrete chirped fiber Bragg grating (SD-CFBG) is proposed and experimentally demonstrated. Since no electro-optical modulator is used, the system is simpler and less costly. In the proposed system, the spectrum of an optical pulse is spectrally sliced by a sinusoidal comb filter. The SD-CFBG is then used as a special dispersive element to map the shaped spectrum to a temporal waveform based on dispersive Fourier transform, and at the same time, to introduce the desired time delay jumps, which are translated to phase shifts. A simplified system without using the comb filter is also studied, in which a single SD-CFBG is employed to simultaneously perform spectral slicing, frequency-to-time mapping, and temporal coding. The proposed technique is validated by two experiments in which two phase-coded mm-wave waveforms at 28.5 GHz and 47.2 GHz with, respectively, a 7-bit and 11-bit Barker code are generated.
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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".