Narrow linewidth semiconductor DFB laser with linear frequency modulation for FMCW LiDAR
Bibliographic record
Abstract
Monolithic distributed feedback semiconductor lasers (1550 nm) for FMCW LiDAR applications have been designed, fabricated and tested. The strong optical frequency modulation distortion observed when a standard DFB laser is modulated with a triangular current waveform is significantly mitigated in our laser. A 100 kHz frequency modulation with amplitude of 0.9 GHz and nonlinear distortion of 0.3%, calculated as the standard deviation of the optical frequency after removal of a linear fit, was measured through an unbalanced fiber interferometer. This was achieved without electronic pre-distortion of the triangular waveform. The 60 kHz intrinsic linewidth of the laser was unaffected by the modulation. Two lasers were co-packaged in a 2.6 cm<sup>3</sup> multi-layer ceramic package and coupled to fiber pigtails with micro-lenses. The pins of the ceramic package were soldered to a printed circuit board containing the current sources driving the lasers. This optical source was used in a two-channel LiDAR demonstrator built from off-the-shelf fiber optic components and a twodimensional gimbal scanning mirror. This demonstrator enabled detecting a target with 10 % Lambertian reflectivity up to a distance of >120 m and recording point clouds of different scenes. This shows that FMCW LiDAR in combination with highly coherent and linear DFB laser sources is a very promising technology for long range sensing. A version under development will include a silicon photonics chip for further integration and functionality including I/Q detection.
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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".