33

dc.contributor.advisor	33
dc.contributor.author	Anguita, Jaime A.
dc.contributor.author	Cisternas, Jaime E.
dc.coverage	DOI: 10.1117/12.2594202
dc.date	2021
dc.date.accessioned	05-01-2026 18:18
dc.date.available	05-01-2026 18:18
dc.date.issued	33
dc.description.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.
dc.identifier	https://investigadores.uandes.cl/en/publications/b0e290a6-8852-4300-9cf4-ec5910e56fda
dc.identifier.citation	33
dc.identifier.uri	33
dc.language	eng
dc.language.iso	33
dc.publisher	33
dc.relation	33
dc.rights	info:eu-repo/semantics/restrictedAccess
dc.source	-2021
dc.subject	FSO communications
dc.subject	Mode sorter
dc.subject	Orbital angular momentum
dc.subject	Shack-Hartmann sensor
dc.subject	Signal modulation
dc.title	33
dc.title	Performance of turbulence-impaired dense OAM constellations for data modulation	eng
dc.title	33	spa
dc.title	33	und
dc.type	33
dc.type	Conference article	eng
dc.type	Artículo de la conferencia	spa