Resumen
The increase of data rate and bandwidth efficiency of free-space optical communication links may be supported by the use of dense orbital angular momentum (OAM) states, carrying several information bits per transmission. Using machine-learning decoding, the performance of 32-OAM and 64-OAM signal constellations –designed using 4-state superpositions– are studied using numerical propagation models. Using two candidate architectures for detection –Shack-Hartmann and Mode Sorter– we evaluate the performance of the modulation in a simulated optical atmospheric channel by means of the detection accuracy. © 2021 SPIE.
| Idioma original | Inglés |
|---|---|
| Publicación | Proceedings of SPIE - The International Society for Optical Engineering |
| DOI | |
| Estado | Publicada - 2021 |
| Evento | Laser Communication and Propagation through the Atmosphere and Oceans X 2021 - San Diego, Estados Unidos Duración: 1 ago. 2021 → 5 ago. 2021 |
Nota bibliográfica
Publisher Copyright:© 2021 SPIE.