Optimal transport theory for processing and classifying OAM superpositions distorted by turbulence

Jaime E. Cisternas; Jaime A. Anguita

doi:10.1117/12.2633099

Optimal transport theory for processing and classifying OAM superpositions distorted by turbulence

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

We propose the use of orbital angular momentum (OAM) states to form modulation symbols in a free-space laser communication link affected by atmospheric turbulence. A collection of superpositions of 2 and 4 active OAM modes are used for transmitting digital information. To sense and decode the data we compare three candidate architectures, based on a Mode Sorter, a Shack-Hartmann and phase flattening holograms. In this work we use concepts of Optimal Transport, particularly the Wasserstein distance and barycenter, for an optimal selection of OAM superpositions and a more appropriate processing of OAM spectra, leading to more accurate detection, achieving a classification error smaller than 1/1000 in intermediate to strong turbulence conditions.

Original language	English
Title of host publication	Laser Communication and Propagation through the Atmosphere and Oceans XI
Editors	Jaime A. Anguita, Jeremy P. Bos, David T. Wayne
Publisher	SPIE
Pages	8
ISBN (Electronic)	9781510654587
ISBN (Print)	9781510654587
DOIs	https://doi.org/10.1117/12.2633099
State	Published - 2022
Event	Laser Communication and Propagation through the Atmosphere and Oceans XI 2022 - San Diego, United States Duration: 22 Aug 2022 → 23 Aug 2022

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	12237
ISSN (Print)	0277-786X
ISSN (Electronic)	1996-756X

Conference

Conference	Laser Communication and Propagation through the Atmosphere and Oceans XI 2022
Country/Territory	United States
City	San Diego
Period	22/08/22 → 23/08/22

Bibliographical note

Funding Information:
This work was supported by CONICYT-Chile (FR-1210297) and by ANID gram ICN17-012.

Publisher Copyright:
© 2022 SPIE.

Keywords

FSO communications
optimal transport
orbital angular momentum
turbulence-induced distortions
Wasserstein distance

Access to Document

10.1117/12.2633099

Cite this

Cisternas, J. E., & Anguita, J. A. (2022). Optimal transport theory for processing and classifying OAM superpositions distorted by turbulence. In J. A. Anguita, J. P. Bos, & D. T. Wayne (Eds.), Laser Communication and Propagation through the Atmosphere and Oceans XI (pp. 8). Article 1223708 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 12237). SPIE. https://doi.org/10.1117/12.2633099

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title = "Optimal transport theory for processing and classifying OAM superpositions distorted by turbulence",

abstract = "We propose the use of orbital angular momentum (OAM) states to form modulation symbols in a free-space laser communication link affected by atmospheric turbulence. A collection of superpositions of 2 and 4 active OAM modes are used for transmitting digital information. To sense and decode the data we compare three candidate architectures, based on a Mode Sorter, a Shack-Hartmann and phase flattening holograms. In this work we use concepts of Optimal Transport, particularly the Wasserstein distance and barycenter, for an optimal selection of OAM superpositions and a more appropriate processing of OAM spectra, leading to more accurate detection, achieving a classification error smaller than 1/1000 in intermediate to strong turbulence conditions.",

keywords = "FSO communications, optimal transport, orbital angular momentum, turbulence-induced distortions, Wasserstein distance",

author = "Cisternas, {Jaime E.} and Anguita, {Jaime A.}",

note = "Funding Information: This work was supported by CONICYT-Chile (FR-1210297) and by ANID gram ICN17-012. Publisher Copyright: {\textcopyright} 2022 SPIE.; Laser Communication and Propagation through the Atmosphere and Oceans XI 2022 ; Conference date: 22-08-2022 Through 23-08-2022",

year = "2022",

doi = "10.1117/12.2633099",

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Cisternas, JE & Anguita, JA 2022, Optimal transport theory for processing and classifying OAM superpositions distorted by turbulence. in JA Anguita, JP Bos & DT Wayne (eds), Laser Communication and Propagation through the Atmosphere and Oceans XI., 1223708, Proceedings of SPIE - The International Society for Optical Engineering, vol. 12237, SPIE, pp. 8, Laser Communication and Propagation through the Atmosphere and Oceans XI 2022, San Diego, United States, 22/08/22. https://doi.org/10.1117/12.2633099

Optimal transport theory for processing and classifying OAM superpositions distorted by turbulence. / Cisternas, Jaime E.; Anguita, Jaime A.
Laser Communication and Propagation through the Atmosphere and Oceans XI. ed. / Jaime A. Anguita; Jeremy P. Bos; David T. Wayne. SPIE, 2022. p. 8 1223708 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 12237).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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AU - Anguita, Jaime A.

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N2 - We propose the use of orbital angular momentum (OAM) states to form modulation symbols in a free-space laser communication link affected by atmospheric turbulence. A collection of superpositions of 2 and 4 active OAM modes are used for transmitting digital information. To sense and decode the data we compare three candidate architectures, based on a Mode Sorter, a Shack-Hartmann and phase flattening holograms. In this work we use concepts of Optimal Transport, particularly the Wasserstein distance and barycenter, for an optimal selection of OAM superpositions and a more appropriate processing of OAM spectra, leading to more accurate detection, achieving a classification error smaller than 1/1000 in intermediate to strong turbulence conditions.

AB - We propose the use of orbital angular momentum (OAM) states to form modulation symbols in a free-space laser communication link affected by atmospheric turbulence. A collection of superpositions of 2 and 4 active OAM modes are used for transmitting digital information. To sense and decode the data we compare three candidate architectures, based on a Mode Sorter, a Shack-Hartmann and phase flattening holograms. In this work we use concepts of Optimal Transport, particularly the Wasserstein distance and barycenter, for an optimal selection of OAM superpositions and a more appropriate processing of OAM spectra, leading to more accurate detection, achieving a classification error smaller than 1/1000 in intermediate to strong turbulence conditions.

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ER -

Optimal transport theory for processing and classifying OAM superpositions distorted by turbulence

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Keywords

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