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.
|Title of host publication||Laser Communication and Propagation through the Atmosphere and Oceans X|
|Editors||Jaime A. Anguita, Jeremy P. Bos, David T. Wayne|
|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
|Name||Proceedings of SPIE - The International Society for Optical Engineering|
|Conference||Laser Communication and Propagation through the Atmosphere and Oceans X 2021|
|Period||1/08/21 → 5/08/21|
Bibliographical noteFunding Information:
This work was supported by CONICYT-Chile (FR-1210297) and by ANID – Millennium Science Initiative Program – ICN17-012.
© 2021 SPIE.
- FSO communications
- Mode sorter
- Orbital angular momentum
- Shack-Hartmann sensor
- Signal modulation