A wideband 360° photonic-assisted microwave phase shifter using a polarization modulator and a polarization-maintaining fiber Bragg grating
Bibliographic record
Abstract
A novel approach to implementing a wideband microwave photonic phase shifter by a joint use of a polarization modulator (PolM) and a polarization-maintaining fiber Bragg grating (PM-FBG) is proposed and experimentally demonstrated. A microwave signal to be phase shifted is applied to the PolM. Two phase-modulated signals along the two principal axes of the PolM are generated and sent to the PM-FBG. The phase-modulated signals have a static but complementary phase shift introduced by the dc bias applied to the PolM. Due to the birefringence of the polarization-maintaining (PM) fiber, the PM-FBG has two spectrally separated and orthogonally polarized reflection bands. By employing the PM-FBG to reflect one first-order sideband along one polarization direction and one optical carrier along the other polarization direction, and send them back to the PolM, a second-time phase modulation is imposed to the sideband and the optical carrier. By sending the two signals to a polarizer and beating them at a photodetector, a phase shifted microwave signal is obtained. Since the PolM is used twice, a low dc bias voltage would lead to a large phase shift. A full 360° microwave photonic phase shifter over a frequency range of 30-40 GHz is experimentally demonstrated. The spurious free dynamic range (SFDR) of the phase shifter is also studied.
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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".