Generation of Frequency-Stepped Signals in Temporal-Frequency Synthetic Dimension with Digital Predistortion
Bibliographic record
Abstract
A Frequency-Stepped Signal (FSS) with a large Time-Bandwidth Product (TBWP) is important to achieve long detection range and high range resolution in a radar system. In this paper, we propose a novel approach to the generation of FSS's with digital predistortion that can pre-compensate for the uneven frequency response of a radar frontend for broadband operation. The FSS's are generated by two coupled fiber loops, in which the recirculation of light signals can be controlled to achieve a target distribution within the temporal-frequency synthetic dimension. By controlling the round-trip loss of each recirculation and incorporating acoustic-optical modulators (AOMs) in the fiber loops, the generation of FSS's with predefined envelopes is demonstrated. Our study shows that FSS's with large TBWPs up to 2.82 X 10 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">5</sup> , tunable central frequencies from 11.6 to 15.2 GHz and predefined triangular and rectangular envelopes can be generated. The proposed waveform generation scheme may find great applications in future radar systems thanks to its high flexibility and large operation bandwidth.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".