Spatial multiplexing and diversity techniques for multiple-element optical wireless links
Bibliographic record
Abstract
Spatial degrees of freedom in optical wireless channels can be exploited to multiplex data or to improve reliability. A short-range MIMO optical wireless system is presented which combines spatial discrete multitone modulation with digital halftoning to produce binary-level transmit images. An experimental prototype pixelated wireless optical channel is constructed and a rate of 450 Mbps is predicted for a 1 m link with 0.5 megapixel arrays at a frame rate of 7 kiloframes/sec. In long-range turbulent links, a novel receiver based on digital micro-mirror devices (DMD) is presented to provide spatial diversity by estimating the focal-plane signal distribution due to atmospheric turbulence. The performance of the DMD receiver is analyzed on a time-varying channel model rather than the ¿frozen atmosphere¿ model conventionally used. Symbol-error rates are simulated for a photon counting channel and show an improvement of about 3 dBo over a single-detector receiver.
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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".