Aerosol Attenuation Model for High Altitude UAV-Based FSO Links

Mohammed Elamassie, Murat Uysal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Free space optical (FSO) communication is well positioned to address connectivity needs in ground-UAV, inter-UAV and UAV-ground links. An accurate performance analysis of airborne FSO links requires the use of proper path loss models. While earlier studies have successfully modeled attenuation arising from rain, drizzle, fog, and snow, aerosols have received less attention. Aerosols are tiny particles suspended in the atmosphere. They can be found drifting in Earth's atmosphere from the stratosphere to the troposphere to the Earth's surface. In this paper, we conduct extensive simulations in MODTRAN to determine the extinction coefficient values for aerosol over the wavelength from 350 nm to 1550 nm including typical wavelengths (e.g., 690 nm, 780nm, 850nm, and 1550 nm) used in commercial FSO systems. Non-linear curve fitting is then used to obtain new closed-form expressions for extinction coefficients.

Original languageEnglish (US)
Title of host publication2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages71-75
Number of pages5
ISBN (Electronic)9781665410441
DOIs
StatePublished - 2022
Event13th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2022 - Porto, Portugal
Duration: Jul 20 2022Jul 22 2022

Publication series

Name2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2022

Conference

Conference13th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2022
Country/TerritoryPortugal
CityPorto
Period7/20/227/22/22

Keywords

  • Free space optical communication
  • aerosol extinction coefficient
  • high-altitude
  • unmanned aerial vehicle

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Safety, Risk, Reliability and Quality
  • Instrumentation
  • Atomic and Molecular Physics, and Optics

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