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

Jaime E. Cisternas, Jaime A. Anguita

Research output: Contribution to journal › Conference article › peer-review

2 Scopus citations

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
Pages (from-to)	8
Journal	Proceedings of SPIE - The International Society for Optical Engineering
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

Bibliographical note

Publisher Copyright:
© 2022 SPIE.

Keywords

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

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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, Wasserstein distance, optimal transport, orbital angular momentum, turbulence-induced distortions",

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

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year = "2022",

doi = "10.1117/12.2633099",

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journal = "Proceedings of SPIE - The International Society for Optical Engineering",

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TY - JOUR

T1 - Optimal transport theory for processing and classifying OAM superpositions distorted by turbulence

AU - Cisternas, Jaime E.

AU - Anguita, Jaime A.

PY - 2022

Y1 - 2022

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.

KW - FSO communications

KW - Wasserstein distance

KW - optimal transport

KW - orbital angular momentum

KW - turbulence-induced distortions

UR - https://www.scopus.com/pages/publications/85141896663

UR - https://www.mendeley.com/catalogue/63f8d128-3949-34a3-be42-4e10cce04e39/

U2 - 10.1117/12.2633099

DO - 10.1117/12.2633099

M3 - Conference article

AN - SCOPUS:85141896663

SN - 0277-786X

SP - 8

JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

T2 - Laser Communication and Propagation through the Atmosphere and Oceans XI 2022

Y2 - 22 August 2022 through 23 August 2022

ER -

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

Abstract

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Keywords

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