Free-Space Optical Communication System Using Non-mode-Selective Photonic Lantern Based Receiver With Different Number of Single-Mode Fiber Cores
Bibliographic record
Abstract
The optical receiver based on non-mode-selective photonic lantern (NMS-PL) can be used to improve the communication performance of free-space optical communication (FSOC) systems, because the NMS-PL receiver can take advantages of the high coupling efficiency of multimode fiber (MMF) receivers and the high mixing efficiency of single-mode fiber (SMF) receivers. However, previous studies on the NMS-PL receiver did not consider the impact of the number of SMF cores of the NMS-PL on the bit-error rate (BER) performance under different power distributions of the NMS- PL. In this paper, we study the BER of the NMS-PL receiver using equal-gain combining (EGC) for FSOC systems under a log-normal turbulent fading channel with pointing errors. We derive both a lower bound and an approximated upper bound of the BER of the NMS-PL receiver using EGC. Numerical results show that the BER of NMS-PL receiver attains its minimum value when the number of SMF cores equals the number of guided modes of NMS-PL. Besides, numerical results also show that the power distribution of the NMS-PL has only limited influence on the BER of NMS-PL receiver using EGC when either strong turbulence or large pointing error is considered.
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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 | 0.001 | 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".