Abstract
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.
| Original language | English |
|---|---|
| Journal | Proceedings of SPIE - The International Society for Optical Engineering |
| DOIs | |
| State | Published - 2021 |
| Event | Laser Communication and Propagation through the Atmosphere and Oceans X 2021 - San Diego, United States Duration: 1 Aug 2021 → 5 Aug 2021 |
Bibliographical note
Funding Information:This work was supported by CONICYT-Chile (FR-1210297) and by ANID – Millennium Science Initiative Program – ICN17-012.
Publisher Copyright:
© 2021 SPIE.
Keywords
- FSO communications
- Mode sorter
- Orbital angular momentum
- Shack-Hartmann sensor
- Signal modulation