| Full text | |
| Author(s): |
Freitas, Bruno S.
;
Runge, Cristhof J. R.
;
Portugheis, Jaime
;
de Oliveira, Ivan
;
Dias, Ulisses
;
IEEE
Total Authors: 6
|
| Document type: | Journal article |
| Source: | 2020 IEEE 8TH INTERNATIONAL CONFERENCE ON PHOTONICS (ICP); v. N/A, p. 2-pg., 2020-01-01. |
| Abstract | |
In orbital angular momentum (OAM) based free-space optical (FSO) communication systems, a CCD camera can be used at the reception side to capture images of the laser beam carrying the transmitted OAM modes. The tasks of extracting features from these images and identifying the transmitted modes are studied in this paper. The ability of machine learning algorithms to perform these tasks is explored. Laguerre-Gauss beams and turbulent channels are considered. Different modulation alphabets formed by using sets of superposed and multiplexed OAM modes are investigated. Appropriate choice of these alphabets can increase data rate transmission. (AU) | |
| FAPESP's process: | 13/25977-7 - Security and reliability of Information: theory and practice |
| Grantee: | Marcelo Firer |
| Support Opportunities: | Research Projects - Thematic Grants |