Comparative Analysis of Bessel-Gaussian and Ince-Gaussian Beams for Free-Space Optical Communication

Gokul Manavalan, Shlomi Arnon

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This study evaluates the performance of Bessel-Gaussian and Ince-Gaussian beams for free-space optical communication (FSO) using visible light and near-infrared wavelengths. We analyze their detection efficiency over a 500-meter range, leveraging their unique spatial characteristics, circular symmetry for Bessel-Gaussian beams and elliptical symmetry for Ince-Gaussian beams. By utilizing pre-trained deep learning models and the conjugate light field (CLF) method, we assess the suitability of these structured beams for data encoding and decoding. Comparative analysis across the two wavelengths provides deeper insights into the performance and distinctive properties of these beams. The findings contribute to optimizing FSO systems and hold potential for advanced applications, including high-resolution imaging and enhanced optical wireless communication technologies.

Original languageAmerican English
Title of host publicationFree-Space Laser Communications XXXVII
EditorsHamid Hemmati, Bryan S. Robinson
PublisherSPIE
ISBN (Electronic)9781510684584
DOIs
StatePublished - 1 Jan 2025
EventFree-Space Laser Communications XXXVII 2025 - San Francisco, United States
Duration: 28 Jan 202531 Jan 2025

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume13355

Conference

ConferenceFree-Space Laser Communications XXXVII 2025
Country/TerritoryUnited States
CitySan Francisco
Period28/01/2531/01/25

Keywords

  • Bessel-Gaussian beam
  • Conjugate light field (CLF)
  • Free-space optical communication (FSO)
  • Ince-Gaussian beam
  • Pre-trained deep learning models

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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