Independently Tunable Dual-Frequency Optoelectronic Oscillator With Single-Mode Operation via Cascaded Zero-Dispersion Recirculating Loops
Bibliographic record
Abstract
We propose and experimentally demonstrate an independently tunable dual-frequency optoelectronic oscillator (OEO) featuring single-mode operation based on a hybrid spectrum slicing technique and cascaded zero-dispersion recirculating loops (ZD-RLs). The proposed system utilizes a single amplified spontaneous emission (ASE) source and a hybrid slicing filter to generate two distinct microwave photonic filter (MPF) passbands within a single cavity, enabling independent frequency tuning for both oscillation tones over a broad range from 3 to 11 GHz. To address the issue of mode competition commonly observed in dual-tone OEOs, mutual injection locking is introduced, enabling the coexistence of two stable oscillation tones within the same cavity. In conjunction with three ZD-RLs of different lengths for enhanced mode selectivity, the system achieves robust single-mode operation with an SMSR up to 62 dB and low phase noise of –107 dBc/Hz and –109 dBc/Hz at 10 kHz offset for the 3.5 GHz and 6.8 GHz tones, respectively. With the simultaneous realization of a large and independently tunable frequency range, low phase noise, and simple architecture, the proposed OEO holds significant promise for applications in high-precision dual-band MWP radar and advanced sensing technologies.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".