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 languageEnglish
JournalProceedings of SPIE - The International Society for Optical Engineering
DOIs
StatePublished - 2021
EventLaser Communication and Propagation through the Atmosphere and Oceans X 2021 - San Diego, United States
Duration: 1 Aug 20215 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

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